CLIAMS:We claim:
1. A method for dynamically controlling quality of a video displaying on a display associated to an electronic device, comprising:
detecting, by a display device, current eye position of a user;
identifying, by the display device, at least one region of interest (ROI) on a display screen of the display device based on the current eye position of the user;
predicting, by the display device, next position of the eye based on at least one of the current eye position of the user or the at least one ROI;
converting, by the display device, the SD video in to a high definition (HD) video displayed on the ROI on the display screen associated with the current and next position of the eye; and
displaying, by the display device, the HD video on the ROI of the display screen.
2. The method as claimed in claim 1, wherein detecting the current eye position of the user is performed by an at least one motion detector, using one of an optical eye tracking, a pattern mapping and a gaze-based interface technique.
3. The method as claimed in claims 1, wherein identifying the at least one region of interest (ROI) on the display screen is performed using binary space partitioning method.
4. The method as claimed in claim 1 further comprises displaying the SD video in the non-ROI of the display screen.
5. The method as claimed in claim 1, wherein predicting the next position of the eye comprises:
receiving at least one of, one or more parameters associated with the SD video displayed on the display screen and at least one user profile; and
predicting the next position of the eye based on the one or more parameters, the at least one user profile and at least one resource; and
obtaining one or more frames of the SD video based on the predicted next position of the eye using an artificial neural network.
6. The method as claimed in claim 5, wherein the one or more parameters are present coordinates on the display screen, plurality of motion vectors in one of neighboring pixels and objects, frame color and color change in the frames of the SD video.
7. The method as claimed in claim 1, wherein converting the SD video in to a high definition (HD) video comprises:
performing, by the display device, spatial up-sampling at least one of a plurality of frames in the ROI and a plurality of frames in an at least one ROI associated with the next position of the eye.
8. The method as claimed in claim 7, wherein the spatial up-sampling of the plurality of frames is performed by an interpolating technique.
9. The method as claimed in claim 1 further comprises processing the HD video for rendering high definition content on the ROI and standard definition content in non-ROI.
10. The method as claimed in claim 1, wherein displaying the HD video on the ROI of the display screen comprises eliminating at least one of interference and a noise in the HD video.
11. A display device for dynamically controlling quality of a video, comprising:
a processor; and
a memory communicatively coupled to the processor, wherein the memory stores processor-executable instructions, which, on execution, causes the processor to:
detect current eye position of a user;
identify at least one region of interest (ROI) on a display screen of the display device based on the current eye position of the user;
predict next position of the eye based on at least one of the current eye position of the user or the at least one ROI;
convert the SD video in to a high definition (HD) video displayed on the ROI on the display screen associated with the current and next position of the eye; and
display the HD video on the ROI of the display screen.
12. The device as claimed in claim 11, wherein the processor is configured to detect the current eye position of the user is performed by an at least one motion detector, using one of an optical eye tracking, a pattern mapping and a gaze-based interface technique.
13. The device as claimed in claims 11, wherein the processor is configured to identify at least one region of interest (ROI) on a display screen by performing using binary space partitioning method.
14. The device as claimed in claim 11 further comprises the processor configured to display the SD video in the non-ROI of the display screen.
15. The device as claimed in claim 11, wherein the processor is configured to predict the next dwell position of the eye comprising:
receiving at least one of, one or more parameters associated with the SD video displayed on the display screen and at least one user profile; and
predicting the next position of the eye based on the one or more parameters, the at least one user profile and at least one resource; and
obtaining one or more frames of the SD video based on the predicted next position of the eye using an artificial neural network.
16. The device as claimed in claim 15, wherein the one or more parameters are present coordinates on the display screen, plurality of motion vectors in one of neighboring pixels and objects, frame color and color change in the frames of the SD video.
17. The device as claimed in claim 11, wherein the processor is configured to convert the SD video in to a high definition (HD) video comprising:
performing spatial up-sampling at least one of a plurality of frames in the ROI and a plurality of frames in an at least one ROI associated with the next position of the eye.
18. The device as claimed in claim 17, wherein the spatial up-sampling of the plurality of frames is performed by an interpolating technique.
19. The device as claimed in claim 11 further comprises the processor configured to process the HD video for rendering high definition content on the ROI and standard definition content in non-ROI.
20. A non-transitory computer readable medium including instructions stored thereon that when processed by at least one processor cause a system to perform operations comprising:
detect current eye position of a user;
identify at least one region of interest (ROI) on a display screen of the display device based on the current eye position of the user;
predict next position of the eye based on at least one of the current eye position of the user or the at least one ROI;
convert the SD video in to a high definition (HD) video displayed on the ROI on the display screen associated with the current and next position of the eye; and
display the HD video on the ROI of the display screen.
Dated this 9th day of June, 2015
SRAVAN KUMAR GAMPA
OF K & S PARTNERS
AGENT FOR THE APPLICANT
,TagSPECI:TECHNICAL FIELD

The present subject matter is related, in general to a display device and more particularly, but not exclusively to systems and methods for dynamically controlling quality of a video displaying on a display associated to an electronic device.