FORM 2
THE PATENTS ACT, 1970
(39 OF 1970)
&
THE PATENT RULES, 2003
COMPLETE SPECIFICATION
(See section 10 and rule 13)
“METHOD AND SYSTEM FOR PROVIDING ONE OR MORE NOTIFICATIONS”
Jio Platforms Ltd., of address Office-101, Saffron, Nr. Centre Point, Panchwati 5 Rasta, Ambawadi, Ahmedabad-380006, Gujarat, India.
The following specification particularly describes the invention and the manner in which it is to be performed:

METHOD AND SYSTEM FOR PROVIDING ONE OR MORE NOTIFICATIONS
PRIORITY APPLICATION
This application claims the benefit of Indian Patent Application no. 202321024956 filed on March 31, 2023 titled “METHOD AND SYSTEM FOR DELIVERING CONTEXTUAL CONTENTS TO VIEWERS OF A LIVE SPORTS EVENT”. The entire contents of the aforementioned applications are incorporated herein by reference.
TECHNICAL FIELD
Embodiments of the present disclosure generally relate to processing a live multimedia stream. More particularly, embodiments of the present disclosure relate to automatic content recognition from the live multimedia stream to provide notifications.
BACKGROUND
The following description of the related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section is used only to enhance the understanding of the reader with respect to the present disclosure, and not as admissions of the prior art.
Over the years, there has been a steady rise in the viewership of sports events across the globe. Thanks to the advent of technology and the widespread availability of internet services, people from all corners of the world can now

access live sports events at their convenience. Additionally, the globalisation of sports has also contributed to the increase in viewership, as fans now have a wider range of sports to follow and teams to support. The growing interest in sports has also led to the emergence of new sports leagues, which have gained massive followings in a short period of time. With more people tuning in to watch sports events, the sports industry is expected to continue to grow, with even more opportunities for athletes and sports enthusiasts alike. Further, sports personalities and athletes have become some of the most influential figures in the world today, with their achievements and personalities reaching a global audience. With the increasing popularity of sports, there has been a significant increase in brand sponsorship contracts for sports personalities and athletes. Companies are now investing heavily in sports marketing, with sports figures serving as the faces of their brands. This trend is not limited to established stars, as upcoming athletes are also attracting brand endorsements, given their potential for success and appeal to younger audiences. As a result, sports personalities and athletes have become important influencers. This trend is expected to continue as sports continue to grow in popularity and brands recognise the power of aligning themselves with successful athletes and sports personalities.
Further, with increase in viewership, advertising during sports telecasts has become increasingly important for brands to increase their revenue. Sports telecasts draw a massive audience, providing a platform for brands to showcase their products and services to a global audience. In addition, the logos of brands displayed during sports telecasts can have a significant impact on brand recognition and recall, as they are viewed by millions of people worldwide. With the advent of technology, brands can now target specific demographics and regions, increasing their reach and impact. The revenue generated from advertising during sports telecasts is significant, and it has become a critical

revenue stream for deliverers and sports teams alike. With the increasing popularity of sports, the value of advertising during sports telecasts is expected to continue to grow, providing brands with an opportunity to increase their revenue and build their brand equity.
Further, contextual contents such as advertisements (hereinafter also referred to as ad/ads) has proven to be more effective in terms of viewer engagement and revenue compared to non-contextual advertisement. By providing viewers of a media stream of an event with ads that are relevant to their interests and needs, contextual advertising creates a more personalised experience, increasing the likelihood of viewer engagement. Studies have shown that contextual ads are more likely to be clicked, resulting in higher click-through rates and, ultimately, higher conversion rates. Additionally, contextual advertising is often less intrusive, making it more likely to be accepted and viewed positively by viewers. This leads to a better viewer experience, which can increase the chances of repeat visits and customer loyalty. Also, in terms of revenue, contextual advertising can lead to a higher return on investment for brands, as it enables them to target their audience with greater precision, resulting in more effective ad campaigns and increased revenue. Overall, the relevance of contextual advertising has been proven by its ability to drive engagement and revenue, making it a valuable tool for brands looking to reach their target audience effectively. Additionally, one of the most important purposes of contextual advertising is to allow brands to reach their target audience with greater precision, leading to more effective ad campaigns and increased brand awareness. With the rise of digital marketing, contextual advertising has become an increasingly important tool for brands to connect with their audience and drive revenue. Further, in the currently known method and system, contextual advertisements targeted to a specific audience are based only on the viewer's search or browsing history, location, and other relevant data collected from the viewer's device. Further, the currently known solutions aim to

present ads that are relevant to the viewers interests and needs based on their demographic regions to make them more likely to engage with the advertisement and fails to take the current emotion of the viewer into account while delivering contextual advertisement, which is an important part of any sports event. The currently known methods and systems for contextual advertising aim to present ads based on their usefulness and value to the viewer based on their search history or regional background, with the objective of higher engagement rates and, ultimately, a better return on investment for advertisers; however, none of the current solutions appreciate the emotion of the viewer or context of a particular sports event and its impact on a viewer of a region that is associated with the live streaming of the particular sports event.
Further, an essential part of a sports telecast is a superimposed scoreboard, which is a common and essential feature in sports telecasts and provides viewers with real-time updates on the score, time remaining, and other pertinent game information. The scoreboard is typically displayed as a graphic overlay on the screen and updated by a dedicated team that monitors the game and inputs the data. However, advances in technology have allowed for the automatic detection of game events through the analysis of the scoreboard using techniques such as optical character recognition. This technology enables deliverers to quickly and accurately identify when a goal is scored, a penalty is called, or any other important event that impacts the game. By using these techniques, sports telecasts can provide viewers with a more immersive and engaging experience while also enhancing the accuracy and efficiency of the deliverer. Further, event detection from scoreboards during sports telecasts is crucial for deliverers as it allows them to deliver targeted advertisements to viewers based on the current state of the game. For example, if a team scores a goal, advertisers can display ads during the celebration. This targeted approach to advertising has a significant impact on the enhancement of brand visibility and ultimately on the revenue

generated from such advertisements. By providing viewers with relevant ads, deliverers can increase engagement, brand recognition, and ultimately revenue for their advertisers. Furthermore, event detection from scoreboards enables deliverers to capitalise on key moments during a game, such as a player's record-breaking performance, thereby increasing the visibility and value of the associated brand. In conclusion, the importance of event detection from scoreboards cannot be overstated, as it has a direct impact on the success of sports telecast and the profitability of advertisers.
Although current solutions of event detection from scoreboards during sports telecasts do allow for targeted advertisements, there is a flaw in the system as many ads displayed are unrelated to the actual game being played. The existing approaches fail to incorporate the context of the event, and viewers may find the ads disruptive and irrelevant to the current context of the game. As a result, there is a growing need for a more contextual approach to sports advertising. For example, if a player is injured during a game, it may be more appropriate to display ads for sports medicine or medical services. By incorporating contextual information into the advertising process, deliverers can provide more relevant and useful ads to viewers, enhancing the overall viewing experience and increasing the effectiveness of advertisements. As the sports delivering industry continues to evolve, it is essential that advertisers and deliverers of the sports event work together to improve the relevance and context of advertising during sports telecasts.
In the known solutions for event detection from scoreboards during sports telecasts has limitations in terms of detecting and incorporating contextual information for targeted advertising. The current known solutions fail to efficiently analyse the media feeds of the sports events, detect the faces of athletes and logos of brands etc., and then deliver relevant contextual advertisements based on this

information. For example, if a popular athlete is playing with a logo on their attire of brand X, in the current known solution, the deliverers fail to detect the athlete and display ads for the brand they endorse or deliver ads of the athlete even if they are of a competitor band, i.e., brand Y. Further, the current known solutions also fail to detect the region for delivering the contextual ad, such as an ad for brand Y of the athlete, in the region or nation where the athlete is admired. On the contrary, the current known solution may deliver an ad even if it is not related to the context of the game, athlete, or brand visible in the media stream.
Having said that, and in view of the aforementioned shortcomings, enigmas, and drawbacks inherent in the existing techniques, there exist unembellished needs for an improved and enhanced mechanism to facilitate contextual and event-specific advertising to the viewer. Further, there is a requirement to propose a system and method for facilitating contextual content that not only considers the context of the event and related attributes of the live media stream from the event but also provides selective content on the basis of the occurrence of the event. Furthermore, there is a requirement to propose a system for facilitating the delivery of relevant contextual contents to relevant viewers of the live event based on the detection of an information from a live media stream of a sport telecast and/or the detection of an occurrence of an event in the live media stream of the sport telecast.
OBJECTS OF THE INVENTION
Some of the objects of the present disclosure, which at least one embodiment disclosed herein satisfies are listed herein below.
It is an object of the present disclosure to provide a system and a method that facilitates for delivering one or more contextual contents to a set of viewers of a

live sports event based on at least one of a player face, a brand logo, and a real time information of the live sports event.
It is an object of the present disclosure to provide a system and a method that identifies in real time player faces, brand logos, and a real time information of the live sports event.
It is an object of the present disclosure to provide a system and a method that facilitates identifying a real time information of a critical event of the live sports event and a context associated with the critical event.
It is also an object of the present disclosure to provide a system and a method that facilitate verification of one or more contextual contents that are delivered to a set of viewers of a live sports event.
It is also an object of the present disclosure to provide a system and a method that encompasses use of technologies such as deep learning technologies, computer vision and/or other artificial intelligence technologies for delivering one or more contextual contents to a set of viewers.
Also, an object of the present disclosure is to provide contents such as advertisement/banner-advertisement outside a live media stream region without modifying the live media stream. For example, at a bottom of a screen displaying the live media stream.
Another object of the present disclosure is to prioritize event notifications to show contents such as advertisements in a video stream. For example, a batsman about to score a century may be prioritized over other batsman hitting a boundary to show an advertisement.

Another object of the present disclosure is to provide in a live stream, team/player endorsed brand contents based on the teams/players detected from a scoreboard of the live event, wherein the live event may be a live sports match like cricket, hockey, football match etc.
Yet another object of the present disclosure is to provide a resolution agnostic scoreboard detection, such that irrespective of a resolution of a live media stream, a scoreboard information from the live media stream is efficiently detected.
SUMMARY
This section is provided to introduce certain aspects of the present disclosure in a simplified form that are further described below in the detailed description. This summary is not intended to identify the key features or the scope of the claimed subject matter.
An aspect of the present disclosure may relate a method for delivering one or more contextual contents to a set of viewers of a live sports event. The method comprises receiving, at a processing unit, a real time media stream of the live sports event, wherein the real-time media stream comprises one or more frames. The method further comprises identifying in real time, by an identification unit, at least one of one or more player faces, one or more brand logos, and a real time information of the live sports event. Further, the method encompasses analysing, by the processing unit, at least one of the one or more player faces, the one or more brand logos, and the real time information of the live sports event. Further, the method comprises detecting, by a detection unit, at least one of a content display priority of the one or more player faces, a content display priority of the one or more brand logos, and a content display priority of the real time information of the live sports event, based on the analysis. Further, the method

comprises detecting, by the detection unit, one or more content-triggers, based on at least one of the content display priority of the one or more player faces, the content display priority of the one or more brand logos, and the content display priority of the real time information of the live sports event. Further, the method encompasses retrieving, by the detection unit from a storage unit, the one or more contextual contents based on the one or more content-triggers, wherein the one or more contextual contents are based on at least one of the one or more player faces, the one or more brand logos and the real time information of the live sports event. Thereafter, the method encompasses delivering, by a content-delivery unit, the one or more contextual contents to the set of viewers of the live sports event.
Another aspect of the present disclosure may relate to a system for delivering one or more contextual contents to a set of viewers of a live sports event. The system comprises a processing unit, configured to receive a real time media stream of the live sports event, wherein the real-time media stream comprises one or more frames. Further, the system comprises an identification unit connected at least to the processing unit, wherein the identification unit is configured to identify in real time, at least one of one or more player faces, one or more brand logos, and a real time information of the live sports event. Furthermore, the processing unit as disclosed is further configured to analyse at least one of the one or more player faces, the one or more brand logos, and the real time information of the live sports event. Further, the system comprises a detection unit connected at least to the processing unit and the identification unit, wherein the detection unit is configured to detect at least one of a content display priority of the one or more player faces, a content display priority of the one or more brand logos, and a content display priority of the real time information of the live sports event, based on the analysis. Further, the detection unit is configured to detect one or more content-triggers, based on at least one of the content display priority of the one or more player faces, the content display priority of the one or more brand logos,

and the content display priority of the real time information of the live sports event. Furthermore, the detection unit as disclosed by the system is further configured to retrieve from a storage unit, the one or more contextual contents based on the one or more content-triggers, wherein the one or more contextual contents are based on at least one of the one or more player faces, the one or more brand logos and the real time information of the live sports event. Further, the system encompasses a content-delivery unit connected at least to the processing unit the identification unit and the detection unit, wherein the content-delivery unit is configured to deliver the one or more contextual contents to the set of viewers of the live sports event.
Another aspect of the present disclosure may relate to a user device for delivering one or more contextual contents to a set of viewers of a live sports event, the user device comprises a system. The system comprises a processing unit, configured to receive a real time media stream of the live sports event, wherein the real-time media stream comprises one or more frames. The system further comprises an identification unit connected at least to the processing unit, wherein the identification unit is configured to identify in real time, at least one of one or more player faces, one or more brand logos, and a real time information of the live sports event. The processing unit is further configured to analyze at least one of the one or more player faces, the one or more brand logos, and the real time information of the live sports event. Further the system comprises a detection unit connected at least to the processing unit and the identification unit, wherein the detection unit is configured to: detect at least one of a content display priority of the one or more player faces, a content display priority of the one or more brand logos, and a content display priority of the real time information of the live sports event, based on the analysis; detect one or more content-triggers, based on at least one of the content display priority of the one or more player faces, the content display priority of the one or more brand logos, and the content display

priority of the real time information of the live sports event; and retrieve from a storage unit, the one or more contextual contents based on the one or more content-triggers, wherein the one or more contextual contents are based on at least one of the one or more player faces, the one or more brand logos and the real time information of the live sports event. The system further comprises a content-delivery unit connected at least to the processing unit, the identification unit and the detection unit, wherein the content-delivery unit is configured to deliver the one or more contextual contents to the set of viewers of the live sports event.
Further, an aspect of the present disclosure relates to a non-transitory computer readable storage medium storing instructions for delivering one or more contextual contents to a set of viewers of a live sports event, the storage medium comprising executable code which, when executed by a processor, causes the processor to: receive a real time media stream of the live sports event, wherein the real-time media stream comprises one or more frames; enable an identification unit to identify in real time, at least one of one or more player faces, one or more brand logos, and a real time information of the live sports event; analyse at least one of the one or more player faces, the one or more brand logos, and the real time information of the live sports event; enable a detection unit to:
1) detect at least one of a content display priority of the one or more player faces,
a content display priority of the one or more brand logos, and a content display
priority of the real time information of the live sports event, based on the analysis,
2) detect one or more content-triggers, based on at least one of the content
display priority of the one or more player faces, the content display priority of the
one or more brand logos, and the content display priority of the real time
information of the live sports event, and 3) retrieve from a storage unit, the one
or more contextual contents based on the one or more content-triggers, wherein
the one or more contextual contents are based on at least one of the one or more

player faces, the one or more brand logos and the real time information of the live sports event; and enable a content-delivery unit to deliver the one or more contextual contents to the set of viewers of the live sports event.
Another aspect of the present disclosure relates to a method for providing one or more notifications to a content-delivery unit. The method comprises receiving, at a processing unit, a real time media stream of the live sports event, wherein the real-time media stream comprises one or more frames. Further, the method comprises receiving, by the processing unit, scoreboard proportions. Further, the method encompasses cropping, by the processing unit, a scoreboard area from the one or more frames based on the scoreboard proportions. Further, the method comprises detecting, by the processing unit using one or more text detection techniques, one or more region of interests (ROIs) from the scoreboard area. The method further comprises extracting, by the processing unit using one or more text recognition techniques, one or more texts from the one or more ROIs. The method further encompasses mapping, by the processing unit, the one or more texts with one or more pre-defined texts. The method further comprises determining, by the processing unit, a scoreboard-based information based on the mapping. The method further encompasses detecting, by the processing unit, at least one of one or more players and one or more scoreboard-based events based at least on the scoreboard-based information. Thereafter the method encompasses providing, by the processing unit, the one or more notifications to the content- delivery unit based at least on the at least one of the detected one or more players and the detected one or more scoreboard-based events.
Another aspect of the present disclosure may relate to a system for providing one or more notifications to a content-delivery unit. The system further comprises a processing unit, configured to receive a real time media stream of the live sports event, wherein the real-time media stream comprises one or more frames. The processing unit is further configured to: receive scoreboard proportions, and crop

a scoreboard area from the one or more frames based on the scoreboard proportions. Further, the processing unit of the system is configured to: detect using one or more text detection techniques, one or more region of interests (ROIs) from the scoreboard area, and extract using one or more text recognition techniques, one or more texts from the one or more ROIs. Further, the processing unit of the system is configured to: map the one or more texts with one or more pre-defined texts, determine a scoreboard-based information based on the mapping, and detect at least one of one or more players and one or more scoreboard-based events based at least on the scoreboard-based information. Thereafter, the processing unit of the system is configured to provide the one or more notifications to the content delivery unit based at least on the at least one of the detected one or more players and the detected one or more scoreboard-based events.
Another aspect of the present disclosure relates to a user device for providing one or more notifications to a content delivery unit, the user device comprising: a system, wherein the system comprises: a processing unit, configured to: receive a real time media stream of the live sports event, wherein the real-time media stream comprises one or more frames; receive scoreboard proportions; crop a scoreboard area from the one or more frames based on the scoreboard proportions; detect using one or more text detection techniques, one or more region of interests (ROIs) from the scoreboard area; extract using one or more text recognition techniques, one or more texts from the one or more ROIs; map the one or more texts with one or more pre-defined texts; determine a scoreboard-based information based on the mapping; detect at least one of one or more players and one or more scoreboard-based events based at least on the scoreboard-based information; and provide the one or more notifications to the content delivery unit [208] based at least on the at least one of the detected one or more players and the detected one or more scoreboard-based events.

Another aspect of the present disclosure relates to a non-transitory computer readable storage medium storing instructions for providing one or more notifications to a content delivery unit, the storage medium comprising executable code which, when executed by a processor, causes the processor to: receive a real time media stream of the live sports event, wherein the real-time media stream comprises one or more frames; receive scoreboard proportions; crop a scoreboard area from the one or more frames based on the scoreboard proportions; detect using one or more text detection techniques, one or more region of interests (ROIs) from the scoreboard area; extract using one or more text recognition techniques, one or more texts from the one or more ROIs; map the one or more texts with one or more pre-defined texts; determine a scoreboard-based information based on the mapping; detect at least one of one or more players and one or more scoreboard-based events based at least on the scoreboard-based information; and provide the one or more notifications to the content delivery unit based at least on the at least one of the detected one or more players and the detected one or more scoreboard-based events.
Another aspect of the present disclosure may relate to a method for automatically generating one or more scoreboard templates for a live sports event. The method further comprises receiving, at a processing unit, a media stream of the live sports event, wherein the media stream comprises one or more frames. The method further encompasses cropping, by the processing unit, a pre-defined portion of the one or more frames. Further the method comprises detecting, by a detection unit using one or more text detection techniques, one or more region of interests (ROIs) in the cropped pre-defined portion. The method further comprises detecting, by the detection unit using one or more text recognition techniques, one or more texts and a position associated with each of the one or more texts from the one or more ROIs. The method further comprises detecting, by the detection unit, a set of template coordinates based on the one or more texts, the position associated with each of the one or more texts, one or more pre-defined

texts and a target template mask value associated with the one or more pre¬defined texts. Thereafter, the method encompasses automatically generating, by the processing unit, the one or more scoreboard templates based at least on the set of template coordinates wherein each of the one or more scoreboard templates comprises at least one of a position of one or more components of a scoreboard of the live sports event and an order of the one or more components.
Another aspect of the present disclosure may relate to a system for automatically generating one or more scoreboard templates for a live sports event. The system comprises a processing unit, configured to receive a media stream of the live sports event, wherein the media stream comprises one or more frames. The processing unit is further configured to crop a pre-defined portion of the one or more frames. Further, the system comprises a detection unit, configured to detect using one or more text detection techniques, one or more region of interests (ROIs) in the cropped pre-defined portion. The detection unit is further configured to detect using one or more text recognition techniques, one or more texts and a position associated with each of the one or more texts from the one or more ROIs. Further, the detection unit is configured to detect a set of template coordinates based on the one or more texts, the position associated with each of the one or more texts, one or more pre-defined texts and a target template mask value associated with the one or more pre-defined texts, wherein the processing unit is further configured to automatically generate, the one or more scoreboard templates based at least on the set of template coordinates wherein each of the one or more scoreboard templates comprises at least one of a position of one or more components of a scoreboard of the live sports event and an order of the one or more components.
Another aspect of the present disclosure may relate to a user device for automatically generating one or more scoreboard templates for a live sports event. The user device further comprises a system, wherein the system comprises

a processing unit, configured to receive a media stream of the live sports event, wherein the media stream comprises one or more frames. The processing unit is further configured to crop a pre-defined portion of the one or more frames. Further, the system comprises a detection unit, configured to detect using one or more text detection techniques, one or more region of interests (ROIs) in the cropped pre-defined portion. Further, the detection unit is configured to detect using one or more text recognition techniques, one or more texts and a position associated with each of the one or more texts from the one or more ROIs. The detection unit is further configured to detect a set of template coordinates based on the one or more texts, the position associated with each of the one or more texts, one or more pre-defined texts and a target template mask value associated with the one or more pre-defined texts. The processing unit is further configured to automatically generate, the one or more scoreboard templates based at least on the set of template coordinates wherein each of the one or more scoreboard templates comprises at least one of a position of one or more components of a scoreboard of the live sports event and an order of the one or more components.
Yet another aspect of the present disclosure may relate to a non-transitory computer readable storage medium storing instructions for automatically generating one or more scoreboard templates for a live sports event, the storage medium comprising executable code which, when executed by a processor, causes the processor to: receive a media stream of the live sports event, wherein the media stream comprises one or more frames; crop a pre-defined portion of the one or more frames; enable a detection unit to: 1) detect using one or more text detection techniques, one or more region of interests (ROIs) in the cropped pre¬defined portion, 2) detect using one or more text recognition techniques, one or more texts and a position associated with each of the one or more texts from the one or more ROIs, and 3) detect a set of template coordinates based on the one or more texts, the position associated with each of the one or more texts, one or more pre-defined texts and a target template mask value associated with the one

or more pre-defined texts; and automatically generate, the one or more scoreboard templates based at least on the set of template coordinates wherein each of the one or more scoreboard templates comprises at least one of a position of one or more components of a scoreboard of the live sports event and an order of the one or more components.
DESCRIPTION OF THE DRAWINGS
The accompanying drawings, which are incorporated herein, and constitute a part of this disclosure, illustrate exemplary embodiments of the disclosed methods and systems in which like reference numerals refer to the same parts throughout the different drawings. Components in the drawings are not necessarily to scale, emphasis instead being placed upon clearly illustrating the principles of the present disclosure. Also, the embodiments shown in the figures are not to be construed as limiting the disclosure, but the possible variants of the method and system according to the disclosure are illustrated herein to highlight the advantages of the disclosure. It will be appreciated by those skilled in the art that disclosure of such drawings includes disclosure of electrical components or circuitry commonly used to implement such components.
FIG.1 illustrates an exemplary block diagram depicting an exemplary network architecture diagram [100], in accordance with an embodiment of the present disclosure.
FIG.2 illustrates an exemplary block diagram of a system [200] for delivering one or more contextual contents to a set of viewers of a live sports event is shown, in accordance with an embodiment of the present disclosure.

FIG.3 illustrates an exemplary method flow diagram [300], for delivering one or more contextual contents to a set of viewers of a live sports event, in accordance with an embodiment of the present disclosure.
FIG.4 illustrates an exemplary method flow diagram [400], for providing one or more notifications to a content-broadcasting unit [208], in accordance with an embodiment of the present disclosure.
FIG.5 illustrates an exemplary method flow diagram [500], for automatically generating one or more scoreboard templates for a live sports event, in accordance with an embodiment of the present disclosure.
DETAILED DESCRIPTION
In the following description, for the purposes of explanation, various specific details are set forth in order to provide a thorough understanding of embodiments of the present disclosure. It will be apparent, however, that embodiments of the present disclosure may be practiced without these specific details. Several features described hereafter may each be used independently of one another or with any combination of other features. An individual feature may not address any of the problems discussed above or might address only some of the problems discussed above.
The ensuing description provides exemplary embodiments only, and is not intended to limit the scope, applicability, or configuration of the disclosure. Rather, the ensuing description of the exemplary embodiments will provide those skilled in the art with an enabling description for implementing an exemplary embodiment. It should be understood that various changes may be made in the

function and arrangement of elements without departing from the spirit and scope of the disclosure as set forth.
Specific details are given in the following description to provide a thorough understanding of the embodiments. However, it will be understood by one of ordinary skill in the art that the embodiments may be practiced without these specific details. For example, circuits, systems, processes, and other components may be shown as components in block diagram form in order not to obscure the embodiments in unnecessary detail.
Also, it is noted that individual embodiments may be described as a process which is depicted as a flowchart, a flow diagram, a data flow diagram, a structure diagram, or a block diagram. Although a flowchart may describe the operations as a sequential process, many of the operations may be performed in parallel or concurrently. In addition, the order of the operations may be re-arranged. A process is terminated when its operations are completed but could have additional steps not included in a figure.
The word “exemplary” and/or “demonstrative” is used herein to mean serving as an example, instance, or illustration. For the avoidance of doubt, the subject matter disclosed herein is not limited by such examples. In addition, any aspect or design described herein as “exemplary” and/or “demonstrative” is not necessarily to be construed as preferred or advantageous over other aspects or designs, nor is it meant to preclude equivalent exemplary structures and techniques known to those of ordinary skill in the art. Furthermore, to the extent that the terms “includes,” “has,” “contains,” and other similar words are used in either the detailed description or the claims, such terms are intended to be inclusive—in a manner similar to the term “comprising” as an open transition word—without precluding any additional or other elements.

As used herein, a “processing unit” or “processor” or “operating processor” includes one or more processors, wherein processor refers to any logic circuitry for processing instructions. A processor may be a general-purpose processor, a special purpose processor, a conventional processor, a digital signal processor, a plurality of microprocessors, one or more microprocessors in association with a DSP core, a controller, a microcontroller, Application Specific Integrated Circuits, Field Programmable Gate Array circuits, any other type of integrated circuits, etc. The processor may perform signal coding data processing, input/output processing, and/or any other functionality that enables the working of the system according to the present disclosure. More specifically, the processor or processing unit is a hardware processor.
As used herein, “a user equipment”, “a user device”, “a smart-user-device”, “a smart-device”, “an electronic device”, “a mobile device”, “a handheld device”, “a wireless communication device”, “a mobile communication device”, “a communication device” may be any electrical, electronic and/or computing device or equipment, capable of implementing the features of the present disclosure. The user equipment/device may include, but is not limited to, a mobile phone, smart phone, laptop, a general-purpose computer, desktop, personal digital assistant, tablet computer, wearable device or any other computing device which is capable of implementing the features of the present disclosure. Also, the user device may contain at least one input means configured to receive an input from at least one of a transceiver unit, a processing unit, a storage unit, a detection unit and any other such unit(s) which are required to implement the features of the present disclosure.
As used herein, “storage unit” or “memory unit” refers to a machine or computer-readable medium including any mechanism for storing information in a form readable by a computer or similar machine. For example, a computer-readable

medium includes read-only memory (“ROM”), random access memory (“RAM”), magnetic disk storage media, optical storage media, flash memory devices or other types of machine-accessible storage media. The storage unit stores at least the data that may be required by one or more units of the system to perform their respective functions.
It should be noted that the terms "content" and "contents" as used in the present disclosure may comprise various types of media, including but not limited to one or more advertisements, one or more banners, one or more live-feeds, one or more graphics, one or more videos, one or more avatars, and other forms of digital media. The person skilled in the art will appreciate that the terms "content" and "contents" are not intended to be restrictive, and that the present invention may be applied to a wide range of different types of media and content. The use of the terms "content" and "contents" is intended to be illustrative only and should not be construed as limiting the scope of the invention in any way. Accordingly, it is to be understood that any reference to "content" or "contents" in the present disclosure should be interpreted broadly, and that the invention is not limited to any particular type or format of media or content.
The term "advertisement/s" or "ad/s" is used interchangeably throughout this patent specification. It is important to note that this is purely for convenience and does not indicate any difference in meaning between the two terms. The use of one term over the other does not imply any specific limitations or restrictions on the scope of the invention, and both terms are intended to encompass any and all forms of advertising or promotional messaging that may be delivered during a live sports event. Therefore, any reference to "advertisement/s" or "ad/s" within this patent specification should be considered interchangeable and equivalent in meaning.

The term "advertisement" as used in this patent specification should be understood to encompass any and all forms of promotional messaging, including but not limited to video or image content, banners, or sound recordings that are displayed or played on a part or whole of an output display alongside the live or recorded event, or that are superimposed over the live or recorded event. It is important to note that the use of the term "advertisement" in this specification is intended to be broad and inclusive, and should not be limited to any specific format or type of promotional messaging. Therefore, any reference to "advertisement" within this patent specification should be understood to include any and all forms of promotional messaging that are displayed or played during a live or recorded event, regardless of their format or placement on the output display.
The terms "live media stream," "live stream," "live event," or any other words or phrases having a similar meaning are used interchangeably throughout this patent specification. It is important to note that these terms are used synonymously and do not imply any differences in meaning between them. The purpose of using these terms interchangeably is to provide clarity and facilitate understanding of the invention. The use of one term over the other does not restrict or limit the scope of the invention in any way, and all such terms are intended to cover any type of live streaming media or event. Therefore, any reference to "live media stream," "live stream," "live event," or similar terms within this patent specification should be considered interchangeable and equivalent in meaning.
The present invention relates to a system and a method for delivering one or more contextual contents to a set of viewers of a live sports event. The set of viewers may include one or more digital viewers of the live sports event. The present invention provides a novel solution and method for delivering contextual content during the live sports event, which overcomes the limitation of the prior known

solution. The invention enables advertisers to target specific demographics and regions with contextual contents, thereby increasing the effectiveness of advertising campaigns. The invention uses a novel solution and novel method that analyses in real-time input media stream i.e., a media stream of the live sports event to determine the most relevant contents to display during the live sports event based on identification of a player face, a brand logo or a critical event from the live sports event. The system is designed to integrate seamlessly with existing content delivering technology, allowing for a hassle-free implementation of the method. The patent specification details the technical aspects of the invention, including the novel implementation, as well as the potential technical advancement of this innovative technology. Overall, the present invention represents a significant advancement in the field of contextual advertising and has the potential to revolutionize the way advertisers reach their target audience during live sports events.
Referring to Figure 1, the Figure 1 illustrates an exemplary block diagram depicting an exemplary network architecture diagram [100], in accordance with exemplary embodiments of the present disclosure. As shown in Figure 1, the exemplary network architecture diagram [100] comprises at least one user equipment [102] connected to at least one server entity [106] via at least one network [104], wherein in an implementation the server entity [106] further comprises a system [200] configured to implement the feature of the present invention. Also, in an implementation the system [200] may reside in the server entity [106] or the user device [102] or both or partially in either the server entity [106] or the user device [102].
Also, in Figure 1 only the single user equipment (or may be referred to as user device) [102], the single network [104] and the single server entity [106] are shown, however, there may be multiple such user equipment [102], server entities

[106], and/or networks [104] or there may be any such numbers of said user equipment [102], server entities [106] and/or networks [104] obvious to a person skilled in the art or as required to implement the features of the present disclosure. Further, in the implementation where the system [200] is present in the server entity [106], based on the implementation of the features of the present disclosure, one or more contextual contents may be provided by the system [100] to a set of viewers of a live sports event, by displaying the one or more contextual contents in the live sports event displayed on the user equipment [102].
Referring to Figure 2, an exemplary block diagram of a system [200] for delivering one or more contextual contents to a set of viewers of a live sports event is shown, in accordance with the exemplary embodiments of the present invention. The system [200] comprises at least one processing unit [202], at least one identification unit [204], at least detection unit [206], at least one storage unit [210] and at least one content-delivery unit [208]. Also, all of the components/ units of the system [200] are assumed to be connected to each other unless otherwise indicated below. Also, in Fig. 2 only a few units are shown, however, the system [200] may comprise multiple such units or the system [200] may comprise any such numbers of said units, as required to implement the features of the present disclosure. Further, in an implementation, the system [200] may be present in a server device to implement the features of the present invention. The system [200] may be a part of a service platform/ or may be independent of but in communication with the service platform.
The system [200] is configured for delivering the one or more contextual contents to the set of viewers of the live sports event, with the help of the interconnection between the components/units of the system [200].

The processing unit [202] is configured to receive a real time media stream of the live sports event, wherein the real time media stream comprises one or more frames. The term "real time media stream" as used in this patent specification includes but is not limited to images, videos, and one or more frames captured continuously or at a time interval. It is important to note that this definition is not intended to limit the scope of the invention in any way, but rather to provide clarity and context to the reader. Therefore, any references made to "real time media stream" in this patent specification should be interpreted as encompassing all forms of media, whether captured continuously or at a time interval, including but not limited to images and videos. For ease of understanding, let's consider an example wherein the processing unit [202] receives a real time media stream of a cricket match played between two teams named for e.g., Dolphin vs. Whales. Further, the real time media stream may comprise one or more frames encompassing at least one of one or more players of either or both teams i.e., Dolphin and Whales, a scoreboard of the cricket match and one or more brand logos.
Further, the system [200] comprises an identification unit [204] connected at least to the processing unit [202], wherein the identification unit [204] is configured to identify in real time at least one of one or more player faces, one or more brand logos, and a real time information of the live sports event. Further, in a preferred implementation of the present invention, the processing unit [202] as disclosed by the present disclosure may be configured to analyse at least one of the one or more player faces, wherein to analyse the one or more player faces, the processing unit [202] is further configured to determine at least one of a player name associated with the one or more player faces, a detail associated with the one or more player faces (such as for example a location of the one or more player faces in the one or more frames), and a face score associated with the one or more

player faces. The face score associated with the one or more player faces may indicate a correctness of the identified one or more player faces.
Further, in a preferred implementation of the present invention, the processing unit [202] as disclosed by the present disclosure may be configured to analyse at least one of the one or more brand logos, and the real time information of the live sports event, wherein to analyse the one or more brand logos, the processing unit [202] is further configured to determine at least one of a logo name associated with the one or more brand logos, a logo location associated with the one or more brand logos in the one or more frames, and a logo score associated with the one or more brand logos. The logo score associated with the one or more brand logos may indicate a correctness of the identified one or more brand logos. In a preferred implementation of the present invention, the identification unit [204] is further configured to identify the one or more player faces in real time using at least one of a face recognition technique and a face detection technique. In an exemplary implementation of the present invention, the system [200] may include a face recognition module configured specifically for identifying player faces in real time from the one or more frames of the real time media stream of the live sports event. Further, the face recognition module used to identify player faces in real time from the one or more frames of the real time media stream of the live sports event may perform a two-step process consisting of face detection followed by face recognition to accurately identify the players from the one or more frames of the real time media stream of the live sports event. In an exemplary implementation of the present invention, the system [200] may use one or more known face detection techniques to detect the player faces from the one or more frames of the real time media stream of the live sports event. Further, the face recognition module processes the result to compare the detected faces with one or more pre-stored faces in a database of known player faces to accurately identify the player face. Furter, in an implementation of the present

invention, the processing unit [202] as disclosed by the present disclosure may also be configured to analyse at least one of the one or more player faces. Furthermore, in an implementation to analyse the one or more player faces, the processing unit [202] is further configured to determine at least one of a player name associated with the one or more player faces, a face detail associated with the one or more player faces by comparing the detected faces with one or more pre-stored faces in a database of known player faces to accurately identify the player face. Once the player faces are identified, the face recognition module captures each of the identified player face in a specific format, such as with a player name, a face location in the one or more frames, and a face score (or may be referred to as a player face score) indicating an accuracy level of the identified face. Therefore, the face recognition module generates an output in a specific format, which includes the player name, the face location, and the face score for each identified player. This format makes it easy to analyse and interpret the output and enables the system [200] to seamlessly integrate with other applications or systems [200]. For ease of understanding continuing from the above example, wherein the processing unit [202] receives the real time media stream of the cricket match played between two teams named Dolphin vs. Whales. Now, let’s say a frame from the real time media stream of the cricket match comprises two players, John and David. The identification unit [204] identifies the face of John and shows the output as "Face_name": "John," "Face_location": "657, 244, 728, 314," "Face_score": 0.75", wherein the face location" ("657, 244, 728, 314") depicts the location of the identified face in the frame and the face score" ("0.75") depicts a match score of the identified face with the one or more pre-stored faces in the database of known player faces.
Further, in accordance with the above implementation it will be appreciated by the person skilled in the art that the system [200] is capable of providing accurate real time identification of players, making it suitable for use in sports applications

where fast and reliable identification is essential. Further, a person skilled in the art would appreciate that the specific format mentioned in the present disclosure, includes the player name, location, and accuracy of identification, can be one of a user-defined, pre-defined, or a format common across all formats. The choice of format will depend on various factors such as the specific use case, the requirements of the system [200], and preferences of a user. Therefore, the specific format mentioned in the previous paragraph is provided for illustrative purposes only and should not be construed as limiting the scope of the invention in any way.
In a preferred implementation of the present invention, the identification unit [204] is further configured to identify the one or more brand logos in real time using a customized object detection technique. In an exemplary implementation of the present invention, the system [200] may include a logo recognition module configured specifically for identifying brand logos from the one or more frames of the real-time media stream of the live sports event. The frames are further processed by the logo recognition module for identifying the brand logos with the help of the customized object detection technique from the one or more frames of the real time media stream of the live sports event. Further, the logo recognition module processes the result to compare the detected brand logos with one or more pre-stored logos of one or more brands in a database to accurately identify the brand logos. Further, in an implementation of the present invention, the logo recognition module to improve logo recognition accuracy may use one or more text recognition techniques to identify text-based brand logos from the one or more pre-stored logos of the one or more brands in the database. Further, the one or more text recognition techniques used may be one of the known text recognition techniques, such as optical character recognition (OCR) techniques or natural language processing (NLP) techniques etc. that may be applied to one or more languages to implement the features of the present

invention. Further, in a preferred implementation of the present invention, the processing unit [202] as disclosed by the present disclosure may also be configured to analyse at least one of the one or more brand logos, and the real time information of the live sports event. Further, in an implementation to analyse the one or more brand logos, the processing unit [202] is further configured to determine at least one of the logo name associated with the one or more brand logos, the logo location associated with the one or more brand logos in the one or more frames, and the logo score associated with the one or more brand logos by comparing and matching the detected one or more brand logos with the one or more pre-stored logos in the database to accurately identify the one or more brand logos.
Further, once the one or more brand logos are identified, the logo recognition module captures the result in a specific format, such as a format comprising logo name, logo location, and logo score. Therefore, the logo recognition module generates the output in a specific format, which includes the logo name, logo location, and logo score for each identified logo. Now, let’s say a frame from the real time media stream comprises two brand logos, i.e., AZ and BY. The identification unit [204] identifies the logo of BY and shows the output as {“Logo_name”: “BY”, “Logo_location”: {236, 324, 453, 565}, “Logo_score”: 0.65}, wherein the logo location" ("236, 324, 453, 565") depicts the location of the identified brand logo in the frame and the logo score" ("0.65") depicts the match score of the identified brand logo with the one or more pre-stored logo in the database.
In a preferred implementation of the present invention, the identification unit [204] is further configured to identify the real time information of the live sports event in real time using an artificial intelligence based optical character recognition technique, wherein the real time information of the live sports event

comprises at least one of a real time information of a critical event of the live sports event and a context associated with the critical event. In an exemplary implementation of the present invention, the system [200] may include a scoreboard recognition module configured specifically for identifying the real time information of the live sports event in real time. In an exemplary implementation of the present invention, the system [200] may comprise the scoreboard recognition module configured specifically for identifying the real time information of the live sports event in real time, wherein the frames are further processed by the scoreboard recognition module for extracting scoreboard information with help of the optical character recognition technique. The optical character recognition technique may be applied to detect text regions and extract text from the detected text region from scoreboard of the real time media stream of the live sports event in real time. Additionally, the scoreboard recognition module may further evaluate the extracted texts by mapping it to required fields such as Playing Team and opponent, Player Names, scores, etc. Further, the mapping by the scoreboard recognition module further facilitates for identifying match events or critical events of the live sports event and a context associated with the critical event (such as for example Boundary/ Century runs, Wickets, and so on indicating a happy moment in the live sports event, an emotional moment in the live sports event and/or the like), passed to scoreboard recognition module for extracting scoreboard information. In an implementation of present invention, the system [200] may implement a known text detection technique on the frame/s of the real time media stream of the live sports event to detect text regions followed by the one or more text recognition technique to extract text/s from the real time media stream of the live sports event. Further, the scoreboard recognition module may generate the output in a specific format. For ease of understanding, continuing from the above example of the cricket match, let’s say the scoreboard recognition module detects the following details from the scoreboard of the real time media stream of the live sports event: -

{“FieldingTeam”: “Whales”, “BattingTeam”: “Dolphin”, “Score”: 22, “Wicket”: 1, “Overs”: 3.1, “Batsman1”: “John”, “Batsman2”: “Samuel”, “Score1”: 16, “Score2”: 0}
It should be noted that the scoreboard of different sports events may vary in terms of format, layout, and the type of information displayed. The mapping of the scoreboard by the scoreboard recognition module as described in the implementation above is just an example, and the person skilled in the art would appreciate that the scoreboard recognition module as disclosed in the present invention is capable to map and extract the information from the scoreboard of various sports event.
Further, the system [200] comprises the detection unit [206] connected at least to the processing unit [202] and the identification unit [204], wherein the detection unit [206] is configured to detect at least one of a content display priority of the one or more player faces, a content display priority of the one or more brand logos, and a content display priority of the real time information of the live sports event, based on the analysis.
It should be noted that the content display priority of the one or more player faces, the content display priority of the one or more brand logos, and the content display priority of the real-time information of the live sports event, based on the analysis by the processing unit [202] or by the one or more corresponding unit as disclosed by the present disclosure may be a pre-defined content display priority, or content display priority determined in real-time based on various factors such as a popularity of a player, a brand value of a logo, a relevance of a real-time information to an ongoing game, a highest face score associated with the identified one or more player faces, a size of a face location associated with the identified one or more player faces, a highest logo score associated with the

identified one or more brand logos, a size of a logo location associated with the identified one or more brand logos, and so on. The person skilled in the art would appreciate that the content display priority can be customized and adapted to suit the particular requirements of each sports event and the advertiser's preferences.
Further, the detection unit [206] is configured to detect one or more content-triggers, based on at least one of the content display priority of the one or more player faces, the content display priority of the one or more brand logos, and the content display priority of the real time information of the live sports event.
Further, in an event when the one or more content-triggers are detected by the detection unit [206] based on the content display priority of the one or more player faces, the one or more contextual contents comprises one or more content associated with the one or more player faces. For ease of understanding, continuing from the above example wherein the player face identified is John and David, in an implementation, the detection unit [206] may detect content-trigger based on content display priority associated with the one or more detected player faces whereby a content of brand X that comprises John is preferred over a content of David for the same brand i.e., brand X (one of the sponsor of the sports event) which may be further based on a greater popularity of John than David. Further, in another implementation, when the detection unit [206] may detect content-trigger based on the content display priority of the one or more player faces, the one or more contextual contents are associated with the detected player face such that a content of the brand Y by the detected player John which is a competitor brand of X (one of the sponsor of the sports event) and is preferred over a content by David for the brand i.e., brand X which may also be further based on the greater popularity of John than David.

Further, considering an event where the detection unit [206] is configured to detect the one or more content-triggers, based on the content display priority of the one or more brand logos. In an implementation of the present invention, when the one or more content-triggers are detected based on the content display priority of the one or more detected brand logos, the one or more contextual contents comprises one or more content associated with at least one of one or more native brand logos and one or more competitor brand logos. For ease of understanding, continuing from the above example wherein the player face identified is John and David and the brand logos identified are AZ and BY, wherein brand BY is one of the sponsors of the currently delivered live sport event. Further, in an implementation, the detection unit [206] may detect content-trigger based on content display priority of the one or more brand logos whereby a content of brand BY that comprises John is preferred over a content of David for the same brand i.e., brand BY (one of the sponsors of the sport event) which may be further based on the greater popularity of John than David and the detection brand logo i.e., BY in the frame of the real time media stream of the live sports event. Further, in another implementation, when the detection unit [206] may detect content-trigger based on the content display priority of the one or more brand logos, the contextual contents comprises content associated with the brand logo such as that a content by John of brand AZ i.e., a competitor brand of BY (one of the sponsor of the sports event) is preferred over a content by David for the sponsor brand i.e., brand BY which may also be further based on the greater popularity of brand AZ with John in a 34egion than the popularity of BY with David in the 34egion and which may further be based on the availability of brand or products of the brand associated with the detected brand logo in the region of content delivery i.e., AZ and BY in the frame of the real time media stream of the live sports event.
Further, considering an event where the detection unit [206] is configured to detect the one or more content-triggers, based on the content display priority of

the real time information of the live sports event. In an implementation of the present invention, when the one or more content-triggers are detected based on the content display priority of the real time information of the live sports event, the one or more contextual contents comprises one or more content associated with at least one of the critical event and the context associated with the critical event. For ease of understanding, continuing from above example wherein the scoreboard recognition module detects the following details from the scoreboard of the real time media stream of the live sports event {“FieldingTeam”: “Whales”, “BattingTeam”: “Dolphin”, “Score”: 22, “Wicket”: 1, “Overs”: 3.1, “Batsman1”: “John”, “Batsman2”: “Samuel”, “Score1”: 16, “Score2”: 0}. Now, the detection unit [206] to detect one or more content-triggers for the the one or more contextual contents based on the real time information of the critical event and the context associated with the critical event which in the above scoreboard may be detected by the scoreboard recognition module as fall of wicket based on the Score 2 associated with the Batsman2 i.e., Samuel and detection of wickets from scoreboard may be detected by the scoreboard recognition module by the “Wicket”: 1.
Furthermore, the detection unit [206] as disclosed by the system [200] is further configured to retrieve from the storage unit [210], the one or more contextual contents based on the one or more content-triggers, wherein the one or more contextual contents are based on at least one of the one or more player faces, the one or more brand logos and the real time information of the live sports event. Further, in an exemplary implementation, the detection unit [206] of the system [200] as disclosed by the present disclosure may retrieve the one or more contextual contents from the storage unit [210] based on the one or more content-triggers. In an implementation, the one or more content-triggers may be based on the factors such as a region of player popularity, a region where a brand or its competitor brand is available, and a region where a critical event and a

context associated with the critical event is relevant. The detection unit [206] may retrieve the one or more contextual contents from the storage unit [210] based on the analysis by the processing unit [202] or the corresponding unit as may be implemented by the present system [200]. The one or more contextual contents may be selected based on the identified player faces, brand logos, and real-time information of the live sports event. The retrieved one or more contextual contents may be delivered by the content-delivery unit [208] to the set of viewers of the live sports event. The retrieval of contextual contents from the storage unit [210] based on the content-triggers may enhance the effectiveness of the contents by targeting specific regions and critical events where the contents are more relevant to the audience.
Further, the system [200] encompasses the content-delivery unit [208] connected at least to the processing unit [202] the identification unit [204] and the detection unit [206], wherein the content-delivery unit [208] is configured to deliver the one or more contextual contents to the set of viewers of the live sports event. Further, in an implementation, delivering by the content-delivery unit [208] the one or more contextual contents to the set of viewers of the live sports event are determined based on various factors such as the region of player popularity, the region where a brand or its competitor brand is available, and where the critical event and the context associated with the critical event is relevant. In an exemplary implementation of the present invention, the system [200] may further comprise the processing unit [202] or one or more corresponding units configured to analyze the real time media stream of the live sports event and determine the content triggers. Based on the analysis, the content-delivery unit [208] may deliver the contextual contents in real time.
Referring to Figure 3 an exemplary method flow diagram [300], for delivering one or more contextual contents to a set of viewers of a live sports event, in

accordance with exemplary embodiments of the present invention is shown. In an implementation the method is performed by the system [200]. Further, in an implementation, the system [200] may be present in a server device to implement the features of the present invention. Also, as shown in Figure 3, the method starts at step [302].
At step [304] the method comprises receiving, at a processing unit [202], a real time media stream of the live sports event, wherein the real-time media stream comprises one or more frames. Further, the term "real time media stream" as used in this patent specification includes but is not limited to images, videos, and one or more frames captured continuously or at a time interval. It is important to note that this definition is not intended to limit the scope of the invention in any way, but rather to provide clarity and context to the reader. Therefore, any references made to "real time media stream" in this patent specification should be interpreted as encompassing all forms of media, whether captured continuously or at a time interval, including but not limited to images and videos. For ease of understanding, let's consider an example wherein the processing unit [202] receives a real time media stream of a cricket match played between two teams named for e.g., Dolphin vs. Whales. Further, the real time media stream may comprise one or more frames encompassing at least one of one or more players of either or both teams i.e., Dolphin and Whales, a scoreboard of the cricket match and one or more brand logos.
At step [306] and step [308] the method comprises identifying in real time, by an identification unit [204], at least one of one or more player faces, one or more brand logos, and a real time information of the live sports event and analysing, by the processing unit [202], at least one of the one or more player faces, the one or more brand logos, and the real time information of the live sports event, respectively. Further, as disclosed by the present disclosure, the analysing by the

processing unit [202] the one or more player faces further comprises determining at least one of a player name associated with the one or more player faces, a face location associated with the one or more player faces in the one or more frames, and a player face score associated with the one or more player faces. Furthermore, as disclosed by the present disclosure, the analysing by the processing unit [202] the one or more brand logos further comprises determining at least one of a logo name associated with the one or more brand logos, a logo location associated with the one or more brand logos in the one or more frames, and a logo score associated with the one or more brand logos.
Further, in a preferred implementation of the present invention, the identification unit [204] identifies the one or more player faces in real time using at least one of a face recognition technique and a face detection technique. In an exemplary implementation of the present invention, the method as disclosed by the present disclosure may include a face recognition module specifically for identifying player faces in real time from the one or more frames of the real time media stream of the live sports event. Further, the face recognition module used to identify player faces in real time from the one or more frames of the real time media stream of the live sports event may perform a two-step process consisting of face detection followed by face recognition to accurately identify the players from the one or more frames of the real time media stream of the live sports event. In an exemplary implementation of the present invention, the method as disclosed by the present disclosure may use one or more known face detection techniques to detect the player faces from the one or more frames of the real time media stream of the live sports event. Further, the face recognition module processes the result to compare the detected faces with a one or more pre-stored faces in a database of known player faces to accurately identify the player face. Furter, in an implementation of the present invention, the processing unit [202] as disclosed by the present disclosure may also analyses at least one of the one or more player

faces. Furthermore, to analyse the one or more player faces, the processing unit [202] determines at least one of a player name associated with the one or more player faces, a face by comparing the detected faces with a one or more pre-stored faces in a database of known player faces to accurately identify the player face. Once the faces are identified, the face recognition module captures the result in a specific format, such as player name, face location, and face score. Further, the face recognition module generates the output in a specific format, which includes the player name, face location, and face score for each identified player. This format makes it easy to analyse and interpret the output and enables the method as disclosed by the present disclosure to seamlessly integrate with other applications or systems [200]. For ease, of understanding continuing from the above example, wherein the processing unit [202] receives the real time media stream of the cricket match played between two teams named Dolphin vs. Whales. Now, let’s say the frame from the real time media stream comprises two players, John and David. The identification unit [204] identifies the face of John and shows the output as "Face_name": "John," "Face_location": "657, 244, 728, 314," "Face_score": 0.75", wherein the face location" ("657, 244, 728, 314") depicts the location of the identified face in the frame and the face score" ("0.75") depicts the match score of the identified face with the one or more pre-stored faces in the database of known player faces.
Further, in accordance with the above implementation it will be appreciated by the person skilled in the art that the method as disclosed by the present disclosure is capable of providing accurate real time identification of players, making it suitable for use in sports applications where fast and reliable identification is essential. Further, a person skilled in the art would appreciate that the specific format mentioned in the present disclosure, includes the player name, location, and accuracy of identification, can be one of a user-defined, pre-defined, or a format common across all formats. Therefore, the specific format mentioned in

the previous paragraph is provided for illustrative purposes only and should not be construed as limiting the scope of the invention in any way.
In a preferred implementation of the present invention, the identification unit [204] identifies the one or more brand logos in real time using a customized object detection technique. In an exemplary implementation of the present invention, the method as disclosed by the present disclosure may include a logo recognition module specifically for identifying brand logos from the one or more frames of the real-time media stream of the live sports event. The frames are further processed by the logo recognition module for identifying the brand logos with the help of the customized object detection technique from the one or more frames of the real time media stream of the live sports event. Further, the logo recognition module processes the result to compare the detected brand logos with one or more pre-stored logos of one or more brands in a database to accurately identify the brand logos. Further, in an implementation of the present invention, the logo recognition module to improve logo recognition accuracy may use one or more text recognition techniques to identify text-based brand logos from the one or more pre-stored logos of the one or more brands in the database. Further, the one or more text recognition techniques used may be one of the known text recognition techniques, such as optical character recognition (OCR) techniques or natural language processing (NLP) techniques etc. Further, in a preferred implementation of the present invention, the processing unit [202] as disclosed by the present disclosure may also analyses at least one of the one or more brand logos, and the real time information of the live sports event. Further, in an implementation to analyse the one or more brand logos, the processing unit [202] determines at least one of the logo name associated with the one or more brand logos, the logo location associated with the one or more brand logos in the one or more frames, and the logo score associated with the one or more brand logos by comparing and

matching the detected one or more brand logos with the one or more pre-stored logos in the database to accurately identify the one or more brand logos.
Further, once the one or more brand logos are identified, the logo recognition module captures the result in a specific format, such as a format comprising logo name, logo location, and logo score. Therefore, the logo recognition module generates the output in a specific format, which includes the logo name, logo location, and logo score for each identified logo. Now, let’s say a frame from the real time media stream comprises two brand logos, i.e., AZ and BY. The identification unit [204] identifies the logo of BY and shows the output as {“Logo_name”: “BY”, “Logo_location”: {236, 324, 453, 565}, “Logo_score”: 0.65}, wherein the logo location" ("236, 324, 453, 565") depicts the location of the identified brand logo in the frame and the logo score" ("0.65") depicts the match score of the identified brand logo with the one or more pre-stored logo in the database. In a preferred implementation of the present invention, the identification unit [204] identifies the real time information of the live sports event in real time using an artificial intelligence based optical character recognition technique, wherein the real time information of the live sports event comprises at least one of a real time information of a critical event of the live sports event and a context associated with the critical event.
Further, in an exemplary implementation of the present invention, the method as disclosed by the present disclosure may include the scoreboard recognition module specifically for identifying the real time information of the live sports event in real time. In an exemplary implementation of the present invention, the method as disclosed by the present disclosure may further comprise a scoreboard recognition module specifically for identifying the real time information of the live sports event in real time, wherein the frames are further processed by the scoreboard recognition module for extracting scoreboard information with help

of the optical character recognition technique. The optical character recognition technique may be applied to detect text regions and extract text from the detected text region from scoreboard of the real time media stream of the live sports event in real time. Additionally, the scoreboard recognition module may further evaluate the extracted texts by mapping it to required fields such as Playing Team and opponent, Player Names, scores, etc. Further, the mapping by the scoreboard recognition module further facilitates for identifying match events or critical events of the live sports event and a context associated with the critical event (such as for example Boundary/ Century runs, Wickets, and so on indicating a happy moment in the live sports event, an emotional moment in the live sports event and/or the like) passed to scoreboard recognition module for extracting scoreboard information. In an implementation of present invention, the method as disclosed by the present disclosure may implement a known text detection technique on the frame/s of the real time media stream of the live sports event to detect text regions followed by the one or more text recognition technique to extract text/s from the real time media stream of the live sports event. Further, the scoreboard recognition module may generate the output in a specific format. For ease of understanding, continuing from the above example of the cricket match, let’s say the scoreboard recognition module detects the following details from the scoreboard of the real time media stream of the live sports event:
{“FieldingTeam”: “Whales”, “BattingTeam”: “Dolphin”, “Score”: 22, “Wicket”: 1, “Overs”: 3.1, “Batsman1”: “John”, “Batsman2”: “Samuel”, “Score1”: 16, “Score2”: 0}
It should be noted that the scoreboard of different sports events may vary in terms of format, layout, and the type of information displayed. The mapping of the scoreboard by the scoreboard recognition module as described in the implementation above is just an example, and the person skilled in the art would

appreciate that the scoreboard recognition module as disclosed in the present invention is capable to map and extract the information from the scoreboard of various sports event.
At step [310] the method comprises detecting, by the detection unit [206], at least one of a content display priority of the one or more player faces, a content display priority of the one or more brand logos, and a content display priority of the real time information of the live sports event, based on the analysis. It should be noted that the content display priority of the one or more player faces, the content display priority of the one or more brand logos, and the content display priority of the real-time information of the live sports event, based on the analysis by the processing unit [202] or by the one or more corresponding unit as disclosed by the present disclosure may be a pre-defined content display priority, or content display priority determined in real-time based on various factors such as a popularity of a player, a brand value of a logo, a relevance of a real-time information to an ongoing game, a highest face score associated with the identified one or more player faces, a size of a face location associated with the identified one or more player faces, a highest logo score associated with the identified one or more brand logos, a size of a logo location associated with the identified one or more brand logos, and so on. The person skilled in the art would appreciate that the content display priority can be customized and adapted to suit the particular requirements of each sports event and the advertiser's preferences.
At step [312] the method comprises detecting, by the detection unit [206], one or more content-triggers, based on at least one of the content display priority of the one or more player faces, the content display priority of the one or more brand logos, and the content display priority of the real time information of the live sports event. Further, in an event the one or more content-triggers are detected by the detection unit [206] based on the content display priority of the one or

more player faces, the one or more contextual contents comprises one or more content associated with the one or more player faces. For ease of understanding, continuing from the above example wherein the player face identified is John and David, in an implementation, the detection unit [206] may detect content-trigger based on content display priority associated with the one or more detected player faces whereby a content of brand X that comprises John is preferred over a content of David for the same brand i.e., brand X (one of the sponsor of the sports event) which may be further based on a greater popularity of John than David. Further, in another implementation, when the detection unit [206] may detect content-trigger based on the content display priority of the one or more player faces, the one or more contextual contents are associated with the detected player face such that a content of the brand Y by the detected player John which is a competitor brand of X (one of the sponsor of the sports event) and is preferred over a content by David for the brand i.e., brand X which may also be further based on the greater popularity of John than David.
Further, considering an event where the detection unit [206] detects the one or more content-triggers, based on the content display priority of the one or more brand logos. In an implementation of the present invention, when the one or more content-triggers are detected based on the content display priority of the one or more detected brand logos, the one or more contextual contents comprises one or more content associated with at least one of one or more native brand logos and one or more competitor brand logos. For ease of understanding, continuing from the above example wherein the player face identified is John and David and the brand logos identified are AZ and BY, wherein brand BY is one of the sponsor of the currently delivered live sport event. Further, in an implementation, the detection unit [206] may detect content-trigger based on content display priority of the one or more brand logos whereby a content of brand BY that comprises John is preferred over a content of David for the same brand i.e., brand BY (one of

the sponsor of the sport event) which may be further based on the greater popularity of John than David and the detection brand logo i.e., BY in the frame of the real time media stream of the live sports event.
Further, in another implementation, when the detection unit [206] may detect content-trigger based on the content display priority of the one or more brand logos, the contextual contents comprises content associated with the brand logo such as that a content by John of brand AZ i.e., a competitor brand of BY (one of the sponsor of the sports event) is preferred over a content by David for the sponsor brand i.e., brand BY which may also be further based on the greater popularity of brand AZ with John in a reigon than the popularity of BY with David in the reigon and which may further be based on the availability of brand or products of the brand associated with the detected brand logo in the region of content delivery i.e., AZ and BY in the frame of the real time media stream of the live sports event.
Further, considering an event where the detection unit [206] detects the one or more content-triggers, based on the content display priority of the real time information of the live sports event. In an implementation of the present invention, when the one or more content-triggers are detected based on the content display priority of the real time information of the live sports event, the one or more contextual contents comprises one or more content associated with at least one of the critical event and the context associated with the critical event. For ease of understanding, continuing from above example wherein the scoreboard recognition module detects the following details from the scoreboard of the real time media stream of the live sports event {“FieldingTeam”: “Whales”, “BattingTeam”: “Dolphin”, “Score”: 22, “Wicket”: 1, “Overs”: 3.1, “Batsman1”: “John”, “Batsman2”: “Samuel”, “Score1”: 16, “Score2”: 0}. Now, the detection unit [206] to detect one or more content-triggers for the the one or more contextual

contents based the real time information of the critical event and the context associated with the critical event which in the above scoreboard may be detected by the scoreboard recognition module as fall of wicket based on the Score 2 associated with the Batsman2 i.e., Samuel and detection of wickets from scoreboard may be detected by the scoreboard recognition module by the “Wicket”: 1.
At step [314] the method comprises retrieving, by the detection unit [206] from the storage unit [210], the one or more contextual contents based on the one or more content-triggers, wherein the one or more contextual contents are based on at least one of the one or more player faces, the one or more brand logos and the real time information of the live sports event. In an exemplary implementation, the detection unit [206] of the method [300] as disclosed by the present disclosure may retrieve the one or more contextual contents from the storage unit [210] based on the one or more content-triggers. In an implementation, the one or more content-triggers may be based on the factors such as a region of player popularity, a region where a brand or its competitor brand is available, and where a critical event and a context associated with the critical event is relevant. The detection unit [206] may retrieve the one or more contextual contents from the storage unit [210] based on the analysis by the processing unit [202] or the corresponding unit as may be utilized for such purpose by the present method. The one or more contextual contents may be selected based on the identified player faces, brand logos, and real-time information of the live sports event. The retrieved one or more contextual contents may be delivered by the content-delivery unit [208] to the set of viewers of the live sports event. The retrieval of contextual contents from the storage unit [210] based on the content-triggers may enhance the effectiveness of the contents by targeting specific regions and critical events where the contents are more relevant to the audience.

At step [316] the method comprises delivering, by the content-delivery unit [208], the one or more contextual contents to the set of viewers of the live sports event. Further, in an implementation, delivering by the content-delivery unit [208] the one or more contextual contents to the set of viewers of the live sports event are determined based on various factors such as the region of player popularity, the region where a brand or its competitor brand is available, and where the critical event and the context associated with the critical event is relevant. In an exemplary implementation of the present invention, the method may further encompass the processing unit [202], or one or more corresponding units to analyze the real time media stream of the live sports event and determine the content triggers. Based on the analysis, the content-delivery unit [208] may deliver the contextual contents in real time. The method ends at step [318].
Further an aspect of the present disclosure may relate to a user device for delivering one or more contextual contents to a set of viewers of a live sports event, the user device comprises a system [200]. The system [200] comprises a processing unit [202], configured to receive a real time media stream of the live sports event, wherein the real-time media stream comprises one or more frames. The system [200] further comprises an identification unit [204] connected at least to the processing unit [202], wherein the identification unit [204] is configured to identify in real time, at least one of one or more player faces, one or more brand logos, and a real time information of the live sports event. The processing unit [202] is further configured to analyze at least one of the one or more player faces, the one or more brand logos, and the real time information of the live sports event. Further the system [200] comprises a detection unit [206] connected at least to the processing unit [202] and the identification unit [204], wherein the detection unit [206] is configured to: detect at least one of a content display priority of the one or more player faces, a content display priority of the one or

more brand logos, and a content display priority of the real time information of the live sports event, based on the analysis; detect one or more content-triggers, based on at least one of the content display priority of the one or more player faces, the content display priority of the one or more brand logos, and the content display priority of the real time information of the live sports event; and retrieve from a storage unit [210], the one or more contextual contents based on the one or more content-triggers, wherein the one or more contextual contents are based on at least one of the one or more player faces, the one or more brand logos and the real time information of the live sports event. The system [200] further comprises a content-delivery unit [208] connected at least to the processing unit [202], the identification unit [204] and the detection unit [206], wherein the content-delivery unit [208] is configured to deliver the one or more contextual contents to the set of viewers of the live sports event.
Further, another aspect of the present disclosure relates to a non-transitory computer readable storage medium storing instructions for delivering one or more contextual contents to a set of viewers of a live sports event, the storage medium comprising executable code which, when executed by a processor, causes the processor to: receive a real time media stream of the live sports event, wherein the real-time media stream comprises one or more frames; enable an identification unit [204] to identify in real time, at least one of one or more player faces, one or more brand logos, and a real time information of the live sports event; analyse at least one of the one or more player faces, the one or more brand logos, and the real time information of the live sports event; enable a detection unit [206] to: 1) detect at least one of a content display priority of the one or more player faces, a content display priority of the one or more brand logos, and a content display priority of the real time information of the live sports event, based on the analysis, 2) detect one or more content-triggers, based on at least one of the content display priority of the one or more player faces, the content display

priority of the one or more brand logos, and the content display priority of the real time information of the live sports event, and 3) retrieve from a storage unit [210], the one or more contextual contents based on the one or more content-triggers, wherein the one or more contextual contents are based on at least one of the one or more player faces, the one or more brand logos and the real time information of the live sports event; and enable a content-delivery unit [208] to deliver the one or more contextual contents to the set of viewers of the live sports event.
In one of the implementations of the present disclosure the system [200] is configured providing one or more notifications to the content- delivery unit [208], with the help of the interconnection between the components/units of the system [200]. In such implementation the content delivery unit [208] may reside within the system [200] or may reside outside the system [100] but is in a connection with the system [200].
Further in such implementation the processing unit [202] is configured to receive a real time media stream of the live sports event, wherein the real-time media stream comprises one or more frames. As disclosed above the term "real time media stream" as used in this patent specification includes but is not limited to images, videos, and one or more frames captured continuously or at a time interval. It is important to note that this definition is not intended to limit the scope of the invention in any way, but rather to provide clarity and context to the reader. Therefore, any references made to "real time media stream" in this patent specification should be interpreted as encompassing all forms of media, whether captured continuously or at a time interval, including but not limited to images and videos. For ease of understanding, let's consider an example wherein the processing unit [202] receives a real time media stream of a cricket match played

between two teams named Dolphin vs. Whales. Further, one or more frames of the real time media stream comprises at least one of one or more players of either or both teams i.e., Dolphin and Whales and one or more brand logos.
Further, the processing unit [202] is configured to receive scoreboard proportions, wherein the scoreboard proportions are determined by the processing unit [202] based on a manual input and wherein the scoreboard proportions comprise at least one of a scoreboard position and a scoreboard layout. A scoreboard region of each sport or sporting event may have a different scoreboard format and position. Therefore, a person skilled in the art would appreciate that the system [200] disclosed herein must account for this variation to accurately detect and crop out the scoreboard area from the real-time media stream of the live sports event. Further, in an exemplary implementation, the processing unit [202] analyzes the position and layout of the scoreboard and identifies the proportions for a scoreboard region from the one or more frames of the real-time media stream of the live sports event. These pre-identified scoreboard proportions are then applied on the one or more frames of the real-time media stream of the live sports event to crop out a scoreboard area. Further, the person skilled in the art would also appreciate that in an exemplary implementation the analyzing and identifying the proportions for the scoreboard region may be performed based on the manual input to ensure accurate detection of the scoreboard area. Further, in an implementation the scoreboard area from the one or more frames of the real¬time media stream of the live sports event, once analyzed by the processing unit [202], may be stored in the storage unit [210] and applied on a frame of another real-time media stream of the live sports event to crop out the scoreboard area from the frame of the another real-time media stream of the live sports event. Therefore, the processing unit [202] is configured to crop the scoreboard area from the one or more frames based on the scoreboard proportions. It should be

noted that the scoreboard of different sports events may vary in terms of format, layout, and the type of information displayed.
Further, the processing unit [202] is configured detect using one or more text detection techniques, one or more region of interests (ROIs) from the scoreboard area. In a preferred implementation of the present invention, the processing unit [202] is further configured to detect the one or more region of interests (ROIs) from the scoreboard area of the live sports event in real time using at least one of one or more artificial intelligence based optical character recognition technique and one or more text detection techniques.
Further, the processing unit [202] is configured extract using one or more text recognition techniques, one or more texts from the one or more ROIs. Further, the processing unit [202] as disclosed by the present invention may further extract text from the region of interests (ROIs) identified from the scoreboard area of the one or more frames of the real time media stream of the live sports event, in real time. Further, in an exemplary implementation the optical character recognition technique may be applied to detect text regions and extract text from the detected region of interests (ROIs) from the scoreboard area of the real time media stream of the live sports event in real time.
Further, the processing unit [202] is configured to map the one or more texts with one or more pre-defined texts, wherein the one or more pre-defined texts comprises one or more fields associated with the live sports event. In an exemplary implementation of the present invention, the processing unit [202] is configured to evaluate the extracted text(s) by mapping the one or more texts with the one or more pre-defined texts such as Playing Team and opponent, Player Names, scores, etc. Further, according to the present disclosure the mapping the one or more texts with one or more pre-defined texts by the processing unit [202]

further facilitate for identifying sports events or critical events of the live sports event and a context associated with the critical event such as Boundary/ Century runs, Wickets, and etc., for extracting scoreboard information from the scoreboard area of the real time media stream of the live sports event in real time. Further, in an implementation of present invention, the system [200] may implement a known text detection technique on the frame/s of the real time media stream of the live sports event to detect text regions followed by the one or more text recognition technique to extract text/s from the real time media stream of the live sports event.
Further, the processing unit [202] is configured determine a scoreboard-based information (or may be referred as the scoreboard information) based on the mapping. Further, the processing unit [202] is configured detect at least one of one or more players and one or more scoreboard-based events based at least on the scoreboard-based information, wherein the one or more scoreboard-based events comprises one or more scoreboard-based contextual events. In an implementation, the processing unit [202] is configured determine the scoreboard-based information based on the mapping and generate an output in a specific format, for ease of understanding lets consider an example wherein the processing unit [202] determine a scoreboard-based information based on the mapping and detects details such as: -
{“FieldingTeam”: “Whales”, “BattingTeam”: “Dolphin”, “Score”: 22, “Wicket”: 0, “Overs”: 3.1, “Batsman1”: “John”, “Batsman2”: “Chris”, “Score1”: 16, “Score2”: 0}
Further, in the above example, in a next frame of the the real time media stream of the live sports event the processing unit [202] determines the scoreboard-based information based on the mapping and detects:

{“FieldingTeam”: “Whales”, “BattingTeam”: “Dolphin”, “Score”: 22, “Wicket”: 1, “Overs”: 3.1, “Batsman1”: “John”, “Batsman2”: “Samuel”, “Score1”: 16, “Score2”: 0}.
Now, in the above example the processing unit [202] of the system [200] as disclosed by the present disclosure is configured detect a scoreboard-based event based at least on the scoreboard-based information a as fall of wicket based on the Score 2 associated with the Batsman2 i.e., Samuel and detection of wickets from scoreboard as “Wicket”: 1.
Further, the processing unit [202] is configured to provide the one or more notifications to the content delivery unit [208] based at least on the at least one of the detected one or more players and the detected one or more scoreboard-based events, such as wicket as discussed in above example. Further, the processing unit [202] to provide the one or more notifications to the content delivery unit [208] based on the detected one or more scoreboard-based events, is further configured to analyze, the one or more scoreboard-based events based on a historical sports data associated with the live sports event. Further, the processing unit [202] is configured to: determine at least one of a winning probability associated with the live sports event and a priority of the one or more scoreboard-based events based on the analysis, and provide, the one or more notifications to the content delivery unit [208] based on at least one of the winning probability and the priority. Further, in an exemplary implementation of the present invention the processing unit [202] is further configured to generate one or more avatars of at least one of one or more commentators, the one or more players and the one or more scoreboard-based events based on the scoreboard-based information. In an exemplary implementation, the processing unit [202] is configured to generate avatars of commentators, players, and scoreboard-based events based on the scoreboard-based information. Further, the avatars may be

further processed by the content delivery unit [208]. The processing unit [202] may use a variety of techniques to generate the avatars, such as image processing, machine learning, or animation. By generating avatars based on scoreboard-based information, the processing unit [202] provides a unique and engaging experience for users who can interact with the avatars in real-time.
Referring to Figure 4, an exemplary method flow diagram [400], for providing one or more notifications to a content- delivery unit [208], in accordance with exemplary embodiments of the present invention is shown. In an implementation the method [400] is performed by the system [200]. Further, in an implementation, the system [200] may be present in a server device to implement the features of the present invention. Also, as shown in Figure 4, the method [400] starts at step [402].
Next, at step [404] the method [400] comprises receiving, at a processing unit [202], a real time media stream of the live sports event, wherein the real-time media stream comprises one or more frames. As disclosed above the term "real time media stream" as used in this patent specification includes but is not limited to images, videos, and one or more frames captured continuously or at a time interval. It is important to note that this definition is not intended to limit the scope of the invention in any way, but rather to provide clarity and context to the reader. Therefore, any references made to "real time media stream" in this patent specification should be interpreted as encompassing all forms of media, whether captured continuously or at a time interval, including but not limited to images and videos. For ease of understanding, let's consider an example wherein the processing unit [202] receives a real time media stream of a cricket match played between two teams named Dolphin vs. Whales. Further, one or more frames of the real time media stream at least one of one or more players of either or both teams i.e., Dolphin and Whales and one or more brand logos.

At step [406] the method [400] comprises receiving, by the processing unit [202], scoreboard proportions, wherein the scoreboard proportions are determined by the processing unit [202] based on a manual input and wherein the scoreboard proportions comprise at least one of a scoreboard position and a scoreboard layout.Further at step [408] the method [400] comprises the cropping, by the processing unit [202], a scoreboard area from the one or more frames based on the scoreboard proportions. A scoreboard region of each sport or sporting event may have a different scoreboard format and position. Therefore, a person skilled in the art would appreciate that the method [400] as disclosed herein must account for this variation to accurately detect and crop out the scoreboard area from the real-time media stream of the live sports event. Further, in an exemplary implementation, the processing unit [202]as disclosed herein analyzes the position and layout of the scoreboard and identifies the proportions for a scoreboard region from the one or more frames of the real-time media stream of the live sports event. These pre-identified scoreboard proportions are then applied on the one or more frames of the real-time media stream of the live sports event to crop out a scoreboard area. Further, the person skilled in the art would also appreciate that in an exemplary implementation the analyzing and identifying the proportions for the scoreboard region may also be performed manually to ensure accurate detection of the scoreboard area. Further, the scoreboard region from the one or more frames of the real-time media stream of the live sports event, once analyzed by the processing unit [202], may be stored in the storage unit [210] and applied on a frame of another one or more frames of the real-time media stream of the live sports event to crop out the scoreboard area from the one or more frames of the real-time media stream of the live sports event. Thereafter, the processing unit [202] crops a scoreboard area from the one or more frames based on the scoreboard proportions. It should be noted that the scoreboard of different sports events may vary in terms of format, layout, and the type of information displayed.

At step [410], the method [400] comprises detecting, by the processing unit [202] using one or more text detection techniques, one or more region of interests (ROIs) from the scoreboard area. In a preferred implementation of the present invention, the processing unit [202] detects the one or more region of interests (ROIs) from the scoreboard area of the live sports event in real time using at least one of oner or more artificial intelligence based optical character recognition technique and one or more text detection techniques.
At step [412], the method [400] comprises extracting, by the processing unit [202] using one or more text recognition techniques, one or more texts from the one or more ROIs. In an implementation, the processing unit [202] as disclosed by the present invention may further extract text from the region of interests (ROIs) identified from the scoreboard area of the one or more frames of the real time media stream of the live sports event, in real time. Further, in an exemplary implementation the optical character recognition technique may be applied to detect text regions and extract text from the detected region of interests (ROIs) from the scoreboard area of the real time media stream of the live sports event in real time.
At step [414], the method [400] comprises mapping, by the processing unit [202], the one or more texts with one or more pre-defined texts, wherein the one or more pre-defined texts comprises one or more fields associated with the live sports event. In an exemplary implementation of the present invention, the processing unit [202] evaluates the extracted texts by mapping the one or more texts with the one or more pre-defined texts such as Playing Team and opponent, Player Names, scores, etc. Further, according to the present disclosure the mapping the one or more texts with one or more pre-defined texts by the processing unit [202] further facilitate for identifying sports events or critical events of the live sports event and a context associated with the critical event such as Boundary/ Century runs, Wickets, and etc. for extracting scoreboard

information from the scoreboard area of the real time media stream of the live sports event in real time. Further, in an implementation of present invention, the method [400] as disclosed herein may implement a known text detection technique on the frame/s of the real time media stream of the live sports event to detect text regions followed by the one or more text recognition technique to extract text/s from the real time media stream of the live sports event.
At step [416], the method [400] comprises determining, by the processing unit [202], a scoreboard-based information (or may be referred as the scoreboard information) based on the mapping. Further, and at step [418], the processing unit [202] is comprises determining, by the processing unit, a scoreboard-based information based on the mapping, wherein the one or more scoreboard-based events comprises one or more scoreboard-based contextual events. In an implementation, the processing unit [202] determines the scoreboard-based information based on the mapping and generate an output in a specific format, for ease of understanding lets consider an example wherein the processing unit [202] determine a scoreboard-based information based on the mapping and detects details such as:
{“FieldingTeam”: “Whales”, “BattingTeam”: “Dolphin”, “Score”: 22, “Wicket”: 0, “Overs”: 3.1, “Batsman1”: “John”, “Batsman2”: “Chris”, “Score1”: 16, “Score2”: 0}
Further, in the above example, in a next frame of the the real time media stream of the live sports event the processing unit [202] determines the scoreboard-based information a scoreboard-based information based on the mapping and detects:
{“FieldingTeam”: “Whales”, “BattingTeam”: “Dolphin”, “Score”: 22, “Wicket”: 1, “Overs”: 3.1, “Batsman1”: “John”, “Batsman2”: “Samuel”, “Score1”: 16, “Score2”: 0}.
Further, in the above example the processing unit [202] as disclosed by the present disclosure detects a scoreboard-based event based at least on the scoreboard-

based information a as fall of wicket based on the Score 2 associated with the Batsman2 i.e., Samuel and detection of wickets from scoreboard as “Wicket”: 1.
At step [420], the method [400] comprises providing, by the processing unit [202], the one or more notifications to the content delivery unit [208] based at least on the at least one of the detected one or more players and the detected one or more scoreboard-based events. such as wicket as discussed in above example. Further, processing unit [202] as disclosed herein provides the one or more notifications to the content delivery unit [208] based on the detected one or more scoreboard-based events, and also the processing unit [202] analyzes the one or more scoreboard-based events based on a historical sports data associated with the live sports event. Further, the processing unit [202] determines at least one of a winning probability associated with the live sports event and a priority of the one or more scoreboard-based events based on the analysis, and provide, the one or more notifications to the content delivery unit [208] based on at least one of the winning probability and the priority.
The method [400] terminates at step [422].
An aspect of the present disclosure relates to a user device for providing one or more notifications to a content delivery unit [208], the user device comprising: a system [200], wherein the system [200] comprises: a processing unit [202], configured to: receive a real time media stream of the live sports event, wherein the real-time media stream comprises one or more frames; receive scoreboard proportions; crop a scoreboard area from the one or more frames based on the scoreboard proportions; detect using one or more text detection techniques, one or more region of interests (ROIs) from the scoreboard area; extract using one or more text recognition techniques, one or more texts from the one or more ROIs;

map the one or more texts with one or more pre-defined texts; determine a scoreboard-based information based on the mapping; detect at least one of one or more players and one or more scoreboard-based events based at least on the scoreboard-based information; and provide the one or more notifications to the content delivery unit [208] based at least on the at least one of the detected one or more players and the detected one or more scoreboard-based events.
Another aspect of the present disclosure relates to a non-transitory computer readable storage medium storing instructions for providing one or more notifications to a content delivery unit [208], the storage medium comprising executable code which, when executed by a processor, causes the processor to: receive a real time media stream of the live sports event, wherein the real-time media stream comprises one or more frames; receive scoreboard proportions; crop a scoreboard area from the one or more frames based on the scoreboard proportions; detect using one or more text detection techniques, one or more region of interests (ROIs) from the scoreboard area; extract using one or more text recognition techniques, one or more texts from the one or more ROIs; map the one or more texts with one or more pre-defined texts; determine a scoreboard-based information based on the mapping; detect at least one of one or more players and one or more scoreboard-based events based at least on the scoreboard-based information; and provide the one or more notifications to the content delivery unit [208] based at least on the at least one of the detected one or more players and the detected one or more scoreboard-based events.
In an implementation of the present disclosure, the system [200] is configured for automatically generating one or more scoreboard templates for a live sports event, with the help of the interconnection between the components/units of the system [200].
In said implementation the processing unit [202] is configured to receive a media stream of the live sports event, wherein the media stream comprises one or more

frames. For ease of understanding, let's consider an example wherein the processing unit [202] receives a real time media stream of a cricket match played between two teams named Dolphin vs. Whales. Further, one or more frames of the real time media stream comprises one or more players of either or both teams i.e., Dolphin and Whales and/or one or more brand logos.
Further, the processing unit [202] is configured to crop a pre-defined portion of the one or more frames. In one implementation of the invention, the processing unit [202] of the present disclosure assumes that a scoreboard may be present at a bottom of the one or more frames. It is to be noted that in most cases, the scoreboard will be present at the bottom of the frame(s), and the present invention may further process the frame to detect the pre-defined region of the one or more frames for cropping the pre-defined portion. To avoid processing an entire frame, the invention initially crops out the bottom 1/4th of the frame for further processing and learning of the more accurate position of fields of the scoreboard. The person skilled in the art will appreciate the significance of this approach in saving processing time and improving accuracy. The invention as disclosed in this specification provides a novel solution for cropping and processing video frames in a more efficient manner.
Further, the system [200] comprises the detection unit [206] connected at least to the processing unit [202]. The detection unit [206], configured to detect using one or more text detection techniques, one or more region of interests (ROIs) in the cropped pre-defined portion, wherein the detection of the one or more region of interests (ROIs) in the cropped pre-defined portion is based on a standard deviation in the pre-defined portion of the one or more frames. In one implementation of the invention, the system [200] uses a standard deviation method across the one or more frames of the media stream to identify a portion of the one or more frames where a text is displayed more frequently and with some variations. More specifically, the system [200] identifies the portion based

on an identification of the standard deviation in a pre-defined range, such as for example between 5 to 20. Portions of the one or more frames that are having almost zero standard deviation are not considered as a part of the scoreboard. This is because, if the standard deviation is close to zero this is some static part of the one or more frames with no variation so that means it won’t have any relevant scoreboard information that changes as well. The system [200] then applies text recognition in that portion of the one or more frames to identify the one or more scoreboard templates. The use of the standard deviation technique for text detection allows for efficient and accurate detection of ROIs in the one or more frames, thereby improving the overall performance of the system [200].
The detection unit [206] is further configured to detect using one or more text recognition techniques, one or more texts and a position associated with each of the one or more texts from the one or more ROIs, wherein the position associated with each of the one or more texts is detected further based on the one or more text detection techniques. Further, the text recognition techniques can be implemented either sequentially or in parallel to detect the texts and their associated positions. The system [200] can use optical character recognition (OCR) techniques or deep learning-based approaches to recognize the texts in the ROIs. Once the texts and their positions are identified, the system [200] can extract relevant information such as scores, player names, team names, and other relevant details. The use of text recognition techniques allows for accurate extraction of information from the video frames, providing valuable insights for sports enthusiasts, broadcasters, and other stakeholders. The present invention offers an efficient and accurate approach to extract relevant information from video frames, improving the overall performance of the system [200].
The detection unit [206] is further configured to detect a set of template coordinates based on the one or more texts, the position associated with each of the one or more texts, one or more pre-defined texts and a target template mask

value associated with the one or more pre-defined texts. The one or more pre¬defined texts comprise one or more fields associated with the live sports event. The target template mask value associated with the one or more pre-defined texts is determined based on a detection of one or more components of the scoreboard in the one or more texts for a predefined threshold time, wherein the one or more components are corresponding to the one or more pre-defined texts. In an implementation of the present invention, the system [200] maintains an array of same dimensions as an input frame for the one or more fields, hereinafter referred to as a template mask. In the beginning, all values of the template mask are initialised to 0. Further, once a position of each field is identified, the values of the template mask associated with said each field is increment by 1, and reaches to the target template mask value associated with each field corresponding to the one or more pre-defined texts. E.g., for a team say Team1, template_mask ["Team1"]+=1. This is done for every field. Further, once the max value for the template mask in each field crosses the predefined threshold i.e., reaches the target template mask value, the detected max value for the template mask is a set of coordinates of corresponding each field. Further, in another exemplary implementation of the present invention, coordinates for an area having a maximum value are detected as the set of template coordinates. Further, once all coordinates for the set of template coordinates are detected, the present invention marks a boundary for the scorecard area such that it contains all the coordinates identified along with some extra buffer space.
Further, the processing unit [202] is further configured to automatically generate the one or more scoreboard templates based at least on the set of template coordinates, wherein each of the one or more scoreboard templates comprises at least one of a position of the one or more components of the scoreboard of the live sports event and an order of the one or more components. Further in an implementation, the present invention receives a real time media stream of the live sports event, wherein the real-time media stream comprises one or more new

frames. Further, the system [200] as disclosed by the present disclosure is configured to predict, in the one or more new frames, a position of one or more target components of a target scoreboard of the live sports event and an order of the one or more target components based on the one or more scoreboard templates. Further, to predict the position of one or more target components of the target scoreboard of the live sports event and the order of the one or more target components based on the one or more scoreboard templates, the present invention as disclosed further determines, using the one or more text detection techniques, one or more new regions of interest (ROIs) in the one or more new frames. Further, the present invention as disclosed determines an overlap between the set of template coordinates and the one or more existing ROIs, and thereafter the present invention predicts, in the one or more new frames, the position of the one or more target components of the target scoreboard of the live sports event and the order of the one or more target components based on the overlap. Further, the system [200] as disclosed herein detects at least one of one or more players and one or more scoreboard-based events based on the one or more target components. Then, the system [200], as disclosed, would deliver, via the content delivery unit [208], one or more contextual contents to a set of viewers of the live sports event based on at least one of the one or more players and the one or more scoreboard-based events.
Also, in an implementation the processing unit [202] is further configured to update the one or more scoreboard templates based on at least one of the position of the one or more target components of the target scoreboard of the live sports event and the order of the one or more target components.
Referring to Figure 5 an exemplary method [500] flow diagram [400], for automatically generating one or more scoreboard templates for a live sports event, in accordance with exemplary embodiments of the present invention is

shown. In an implementation the method [500] is performed by the system [200]. Further, in an implementation, the system [200] may be present in a server device to implement the features of the present invention. Also, as shown in Figure 5, the method [500] starts at step [502].
Next, at step [504], the method [500] comprises receiving, at a processing unit [202], a media stream of the live sports event, wherein the media stream comprises one or more frames.
For ease of understanding, let's consider an example wherein the processing unit [202] receives a real time media stream of a cricket match played between two teams named Dolphin vs. Whales. Further, one or more frames of the real time media stream comprises one or more players of either or both teams i.e., Dolphin and Whales and/or one or more brand logos.
At step [506], the method [500] comprises cropping, by the processing unit [202], a pre-defined portion of the one or more frames. In one implementation of the invention, the processing unit [202] of the present disclosure assumes that a scoreboard may be present at a bottom of the one or more frames. It is to be noted that in most cases, the scoreboard will be present at the bottom of the frame(s), and the present invention may further process the frame to detect the pre-defined region of the one or more frames for cropping the pre-defined portion. To avoid processing an entire frame, the invention initially crops out the bottom 1/4th of the frame for further processing and learning of the more accurate position of fields of the scoreboard. The person skilled in the art will appreciate the significance of this approach in saving processing time and improving accuracy. The invention as disclosed in this specification provides a novel solution for cropping and processing video frames in a more efficient manner.
At step [508], the method [500] comprises detecting, by the detection unit [206] using one or more text detection techniques, one or more region of interests

(ROIs) in the cropped pre-defined portion, wherein the detecting, by the detection unit [206] using the one or more text detection techniques, the one or more region of interests (ROIs) in the cropped pre-defined portion is based on a standard deviation in the pre-defined portion of the one or more frames. In one implementation of the invention, the method [500] as disclosed by the present invention uses a standard deviation method across the one or more frames of the media stream to identify a portion of the one or more frames where a text is displayed more frequently and with some variations. More specifically, the system [200] identifies the portion based on an identification of the standard deviation in a pre-defined range, such as for example between 5 to 20. Portions of the one or more frames that are having almost zero standard deviation are not considered as a part of the scoreboard. This is because, if the standard deviation is close to zero this is some static part of the one or more frames with no variation so that means it won’t have any relevant scoreboard information that changes as well. The method [500] as disclosed by the present invention then applies text recognition in that portion of the one or more frames to identify the one or more scoreboard templates. The use of the standard deviation technique for text detection allows for efficient and accurate detection of ROIs in the one or more frames, thereby improving the overall performance of the method [500] disclosed herein.
At step [510], the method [500] comprises detecting, by the detection unit [206] using one or more text recognition techniques, one or more texts and a position associated with each of the one or more texts from the one or more ROIs, wherein the position associated with each of the one or more texts is detected further based on the one or more text detection techniques. Further, the text recognition techniques can be implemented either sequentially or in parallel to detect the texts and their associated positions. The method [500] as disclosed by the present invention may use optical character recognition (OCR) techniques or deep learning-based approaches to recognize the texts in the ROIs. Once the texts and their positions are identified, the method [500] as disclosed by the present

invention may extract relevant information such as scores, player names, team names, and other relevant details. The use of text recognition techniques allows for accurate extraction of information from the video frames, providing valuable insights for sports enthusiasts, broadcasters, and other stakeholders. The present invention offers an efficient and accurate approach to extract relevant information from video frames, improving the overall performance of the method [500] as disclosed herein.
At step [512], the method [500] comprises detecting, by the detection unit [206], a set of template coordinates based on the one or more texts, the position associated with each of the one or more texts, one or more pre-defined texts and a target template mask value associated with the one or more pre-defined texts. The one or more pre-defined texts comprise one or more fields associated with the live sports event. The target template mask value associated with the one or more pre-defined texts is determined based on a detection of one or more components of the scoreboard in the one or more texts for a predefined threshold time, wherein the one or more components are corresponding to the one or more pre-defined texts. In an implementation of the present invention, the method [500] maintains an array of same dimensions as an input frame for the one or more fields, hereinafter referred to as a template mask. In the beginning, all values of the template mask are 66nitialized to 0. Further, once a position of each field is identified, the values of the template mask associated with said each field is increment by 1, and reaches to the target template mask value associated with each field corresponding to the one or more pre-defined texts. Eg, for a team say Team1, template_mask [“Team1”]+=1. This is done for every field. Further, once the max value for the template mask in each field crosses the predefined threshold, i.e., reaches the target template mask value the detected max value for the template mask is a set of coordinates of corresponding each field. Further, in another exemplary implementation of the present invention, coordinates for an area having a maximum value are detected as the set of template coordinates.

Further, once all coordinates for the sets of template coordinates are detected, the present invention marks the boundary for the scorecard area such that it contains all the coordinates identified along with some extra buffer space.
At step [514], the method [500] comprises automatically generating, by the processing unit [202], the one or more scoreboard templates based at least on the set of template coordinates wherein each of the one or more scoreboard templates comprises at least one of a position of the one or more components of the scoreboard of the live sports event and an order of the one or more components. Further, in an implementation the method [500] further comprises receiving, at the processing unit [202], a real time media stream of the live sports event, wherein the real-time media stream comprises one or more new frames. Further, the method [500] comprises predicting, by the processing unit [202] in the one or more new frames, the position of one or more target components of a target scoreboard of the live sports event and an order of the one or more target components based on the one or more scoreboard templates, Further, the predicting, by the processing unit [202] in the one or more new frames, the position of the one or more target components of the target scoreboard of the live sports event and the order of the one or more target components further comprises determining, by the processing unit [202] using the one or more text detection techniques, one or more new region of interests (ROIs) in the one or more new frames. Further, the method [500] comprises determining, by the processing unit [202], an overlap between the set of template coordinates and the one or more ROIs, and thereafter the method [500] comprises predicting, by the processing unit [202] in the one or more new frames, the position of the one or more target components of the target scoreboard of the live sports event and the order of the one or more target components based on the overlap. Further, the method [500] as disclosed by the present invention comprises detecting, by the processing unit [202], at least one of one or more players and one or more scoreboard-based events based on the one or more target components.

Thereafter, the method [500], as disclosed comprise delivering, by the processing unit [202] via the content delivery unit [208], one or more contextual contents to a set of viewers of the live sports event based on at least one of the one or more players and the one or more scoreboard-based events.
Also, in an implementation of the method [500], the method further comprises updating by the processing unit [202] the one or more scoreboard templates based on at least one of the position of the one or more target components of the target scoreboard of the live sports event and the order of the one or more target components.
Another aspect of the present disclosure may relate to a user device for automatically generating one or more scoreboard templates for a live sports event. The user device further comprises a system [200], wherein the system [200] comprises a processing unit [202], configured to receive a media stream of the live sports event, wherein the media stream comprises one or more frames. The processing unit [202] is further configured to crop a pre-defined portion of the one or more frames. Further, the system [200] comprises a detection unit [206], configured to detect using one or more text detection techniques, one or more region of interests (ROIs) in the cropped pre-defined portion. Further, the detection unit [206] is configured to detect using one or more text recognition techniques, one or more texts and a position associated with each of the one or more texts from the one or more ROIs. The detection unit [206] is further configured to detect a set of template coordinates based on the one or more texts, the position associated with each of the one or more texts, one or more pre¬defined texts and a target template mask value associated with the one or more pre-defined texts. The processing unit [202] is further configured to automatically generate, the one or more scoreboard templates based at least on the set of template coordinates wherein each of the one or more scoreboard templates

comprises at least one of a position of one or more components of a scoreboard of the live sports event and an order of the one or more components.
Yet another aspect of the present disclosure may relate to a non-transitory computer readable storage medium storing instructions for automatically generating one or more scoreboard templates for a live sports event, the storage medium comprising executable code which, when executed by a processor, causes the processor to: receive a media stream of the live sports event, wherein the media stream comprises one or more frames; crop a pre-defined portion of the one or more frames; enable a detection unit [206] to: 1) detect using one or more text detection techniques, one or more region of interests (ROIs) in the cropped pre-defined portion, 2) detect using one or more text recognition techniques, one or more texts and a position associated with each of the one or more texts from the one or more ROIs, wherein the position associated with each of the one or more texts is detected further based on the one or more text detection techniques, and 3) detect a set of template coordinates based on the one or more texts, the position associated with each of the one or more texts, one or more pre¬defined texts and a target template mask value associated with the one or more pre-defined texts; and automatically generate, the one or more scoreboard templates based at least on the set of template coordinates wherein each of the one or more scoreboard templates comprises at least one of a position of one or more components of a scoreboard of the live sports event and an order of the one or more components.
The present invention represents a significant improvement over the prior known solution that displays contents targeted to a specific audience based solely on the viewer's search or browsing history, location, language, and other relevant data collected from the viewer's device. Unlike these prior solutions, the present invention provides a more sophisticated and effective approach to delivering contextual contents during live sports events. Specifically, the present solution

identifies and analyzes the player faces, brand logos, and critical events from the live media stream of the live sports event, and thereafter detects the contextual content for delivering based on a content display priority. This approach allows advertisers to better target their contents to specific events or individuals during the live sports event, thereby increasing the relevance and effectiveness of the advertising campaign. Further, the present invention uses a novel approach to detect and extract real-time match/live sports event information through the use of at least one of advanced face recognition, brand logo detection, multilingual text recognition techniques and scoreboard recognition techniques. By analyzing the live media stream of the sports event in real-time, the invention is able to detect critical events as they occur, and extract the relevant context associated with these events. This enables the delivering of contextual contents that are highly targeted and relevant to the viewer based on the real-time information of a critical event of the live sports event and the context associated with it. The patent specification provides further details regarding the technical implementation of these advanced techniques, as well as their potential applications in the field of contextual advertising. Overall, the present invention represents a significant advancement in the ability to detect and extract real-time information from live sports events, and greatly enhance the effectiveness of contextual advertising during these events.
Therefore, the present invention provides a novel solution for delivering one or more contextual contents to a set of viewers of a live sports event, which increases the chances of engagement and leads to a positive impact on revenue. The invention leverages the use of face recognition, brand logo detection, and scoreboard recognition techniques to determine and deliver relevant contextual contents during live sports events. By analyzing the live media stream of the sports event in real-time, the invention is able to identify specific players, teams, and brands that are present, as well as detect critical events as they occur. This

information is then used to determine the most relevant contextual contents to deliver, based on factors such as the real-time context of the event, the interests of the viewer, and the priorities of the advertisers. The use of these advanced techniques allows for highly targeted and effective advertising during live sports events, as well as the ability to adapt to changing circumstances in real-time.
Further, the present invention provides a technical solution that not only enhances viewers experience but also enhance the impact of contextual advertising during live sports events, which in turn can lead to increased revenue for brands and greater user engagement with the contents. By delivering highly relevant and targeted contextual contents based on real-time information from the live sports event, the invention enables advertisers to better capture the attention and interest of viewers. This can result in increased customer conversions, and greater brand awareness and loyalty. Additionally, the use of advanced face recognition, brand logo detection, and scoreboard recognition techniques allows for a more seamless and non-intrusive integration of contextual contents into the live sports event, further enhancing the overall viewing experience for the viewer. Overall, the present invention represents a significant advancement in the ability to leverage real-time information from live sports events to enhance the impact of contextual advertising, increase revenue for brands, and improve user engagement with contents.
While considerable emphasis has been placed herein on the disclosed embodiments, it will be appreciated that many embodiments can be made and that many changes can be made to the embodiments without departing from the principles of the present disclosure. These and other changes in the embodiments of the present disclosure will be apparent to those skilled in the art, whereby it is to be understood that the foregoing descriptive matter to be implemented is illustrative and non-limiting.

WE CLAIM:
1. A method [400] for providing one or more notifications to a content
delivery unit [208], the method [400] comprising:
- receiving, at a processing unit [202], a real time media stream of the live sports event, wherein the real-time media stream comprises one or more frames;
- receiving, by the processing unit [202], scoreboard proportions;
- cropping, by the processing unit [202], a scoreboard area from the one or more frames based on the scoreboard proportions;
- detecting, by the processing unit [202] using one or more text detection techniques, one or more region of interests (ROIs) from the scoreboard area;
- extracting, by the processing unit [202] using one or more text recognition techniques, one or more texts from the one or more ROIs;
- mapping, by the processing unit [202], the one or more texts with one or more pre-defined texts;
- determining, by the processing unit [202], a scoreboard-based information based on the mapping;
- detecting, by the processing unit [202], at least one of one or more players and one or more scoreboard-based events based at least on the scoreboard-based information; and
- providing, by the processing unit [202], the one or more notifications to the content delivery unit [208] based at least on the at least one of the detected one or more players and the detected one or more scoreboard-based events.
2. The method [400] as claimed in claim 1, wherein the scoreboard
proportions are determined by the processing unit [202] based on a
manual input and wherein the scoreboard proportions comprise at least
one of a scoreboard position and a scoreboard layout.

3. The method [400] as claimed in claim 1, wherein the one or more pre¬defined texts comprises one or more fields associated with the live sports event.
4. The method [400] as claimed in claim 1, wherein the one or more scoreboard-based events comprises one or more scoreboard-based contextual events.
5. The method [400] as claimed in claim 1, wherein the providing, by the processing unit [202], the one or more notifications to the content delivery unit [208] based on the detected one or more scoreboard-based events further comprises:

- analyzing, by the processing unit [202], the one or more scoreboard-based events based on a historical sports data associated with the live sports event,
- determining, by the processing unit [202], at least one of a winning probability associated with the live sports event and a priority of the one or more scoreboard-based events based on the analysis, and
- providing, by the processing unit [202], the one or more notifications to the content delivery unit [208] based on at least one of the winning probability and the priority.

6. The method [400] as claimed in claim 1, the method [400] further comprises generating by the processing unit [202], one or more avatars of at least one of one or more commentators, the one or more players and the one or more scoreboard-based events based on the scoreboard-based information.
7. A system [200] for providing one or more notifications to a content delivery unit [208], the system [200] comprising:
- a processing unit [202], configured to:
receive a real time media stream of the live sports event, wherein the real-time media stream comprises one or more frames,

receive scoreboard proportions,
crop a scoreboard area from the one or more frames based on the
scoreboard proportions,
detect using one or more text detection techniques, one or more
region of interests (ROIs) from the scoreboard area,
extract using one or more text recognition techniques, one or more
texts from the one or more ROIs,
map the one or more texts with one or more pre-defined texts,
determine a scoreboard-based information based on the mapping,
detect at least one of one or more players and one or more
scoreboard-based events based at least on the scoreboard-based
information, and
provide the one or more notifications to the content delivery unit
[208] based at least on the at least one of the detected one or more
players and the detected one or more scoreboard-based events.
8. The system [200] as claimed in claim 7, wherein the scoreboard proportions are determined by the processing unit [202] based on a manual input and wherein the scoreboard proportions comprise at least one of a scoreboard position and a scoreboard layout.
9. The system [200] as claimed in claim 7, wherein the one or more pre¬defined texts comprises one or more fields associated with the live sports event.
10. The system [200] as claimed in claim 7, wherein the one or more scoreboard-based events comprises one or more scoreboard-based contextual events.
11. The system [200] as claimed in claim 7, wherein to provide the one or more notifications to the content delivery unit [208] based on the detected one or more scoreboard-based events, the processing unit [202] is further configured to:

- analyze, the one or more scoreboard-based events based on a historical sports data associated with the live sports event,
- determine, at least one of a winning probability associated with the live sports event and a priority of the one or more scoreboard-based events based on the analysis, and
- provide, the one or more notifications to the content delivery unit [208] based on at least one of the winning probability and the priority.

12. The system [200] as claimed in claim 7, wherein the processing unit [202] is further configured to generate one or more avatars of at least one of one or more commentators, the one or more players and the one or more scoreboard-based events based on the scoreboard-based information.
13. A user device for providing one or more notifications to a content delivery unit [208], the user device comprising:
- a system [200], wherein the system [200] comprises:
a processing unit [202], configured to:
receive a real time media stream of the live sports event,
wherein the real-time media stream comprises one or more
frames,
receive scoreboard proportions,
crop a scoreboard area from the one or more frames based
on the scoreboard proportions,
detect using one or more text detection techniques, one or
more region of interests (ROIs) from the scoreboard area,
extract using one or more text recognition techniques, one
or more texts from the one or more ROIs,
map the one or more texts with one or more pre-defined
texts,
determine a scoreboard-based information based on the
mapping,

detect at least one of one or more players and one or more scoreboard-based events based at least on the scoreboard-based information, and
provide the one or more notifications to the content delivery unit [208] based at least on the at least one of the detected one or more players and the detected one or more scoreboard-based events.