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Image Processing Device And Method

Abstract: The present invention relates to an image processing device and method that are capable of suppressing a reduction in coding efficiency. The image processing device comprises: a prediction vector generation unit that when encoding a current parallax vector for a current block to be used in prediction which uses the correlation of parallax directions uses a reference parallax vector which is referred to when generating prediction motion vectors to generate a prediction vector for the current parallax vector; and a difference vector generation unit that generates a difference vector between the current parallax vector and the prediction vector generated by the prediction vector generation unit. This disclosure can be applied to image processing devices.

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Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
23 December 2013
Publication Number
34/2015
Publication Type
INA
Invention Field
COMMUNICATION
Status
Email
Parent Application
Patent Number
Legal Status
Grant Date
2022-02-04
Renewal Date

Applicants

SONY CORPORATION
1 7 1 Konan Minato ku Tokyo 1080075

Inventors

1. TAKAHASHI Yoshitomo
c/o SONY CORPORATION 1 7 1 Konan Minato ku Tokyo 1080075
2. HATTORI Shinobu
c/o SONY CORPORATION 1 7 1 Konan Minato ku Tokyo 1080075

Claims

1. An image processing device comprising: circuitry configured to operate as: a predictive motion vector generating unit (135) that: sets a co-located vector to be available and to be scaled in a candidate list as a condition that both a type of a reference picture of a current block and a type of a reference picture of a co-located block are short-term reference pictures; sets the co-located vector to be available and to be not scaled in the candidate list as a condition that both the type of the reference picture of the current block and the type of the reference picture of the co-located block are long-term reference pictures; generates a predictive motion vector of a coding vector of the current block using the candidate list; and a reconstructing unit that reconstructs the coding vector by using the predictive motion vector generated by the predictive motion vector generating unit; and a decoding unit that decodes the current block using the coding vector reconstructed by the reconstructing unit.

2. The image processing device according to claim 1, wherein the predictive motion vector generating unit (135) scales the co-located vector based on a positional relationship between a current picture and the reference picture referred to generate the predictive motion vector of the coding vector.

3. The image processing device according to claim 1, wherein the circuitry comprises a Central Processing Unit (CPU).

4. The image processing device according to claim 1, wherein the reconstructing unit uses a merge mode to reconstruct the coding vector.

5. The image processing device according to claim 1, wherein the reconstructing unit uses an AMVP mode to reconstruct the coding vector.

6. An image processing method performed by an image processing device, comprising: setting a co-located vector to be available and to be scaled in a candidate list as a condition that both a type of a reference picture of a current block and a type of a reference picture of a co-located block are short-term reference pictures; setting the co-located vector to be available and to be not scaled in the candidate list as a condition that both the type of the reference picture of the current block and the type of the reference picture of the co-located block are long-term reference pictures; generating a predictive motion vector of a coding vector of the current block using the candidate list; reconstructing the coding vector by using the generated predictive motion vector; and decoding the current block using the reconstructed coding vector.

Specification

We Claim:
1. An image processing device comprising:
circuitry configured to operate as:
a predictive motion vector generating unit (135) that:
sets a co-located vector to be available and to be scaled in a candidate list as a
condition that both a type of a reference picture of a current block and a type of
a reference picture of a co-located block are short-term reference pictures;
sets the co-located vector to be available and to be not scaled in the candidate
list as a condition that both the type of the reference picture of the current block
and the type of the reference picture of the co-located block are long-term
reference pictures;
generates a predictive motion vector of a coding vector of the current block using
the candidate list; and
a reconstructing unit that reconstructs the coding vector by using the predictive
motion vector generated by the predictive motion vector generating unit; and
a decoding unit that decodes the current block using the coding vector
reconstructed by the reconstructing unit.
2. The image processing device according to claim 1, wherein the predictive motion vector generating unit (135) scales the co-located vector based on a positional relationship between a current picture and the reference picture referred to generate the predictive motion vector of the coding vector.
3. The image processing device according to claim 1, wherein the circuitry comprises a Central Processing Unit (CPU).
4. The image processing device according to claim 1, wherein the reconstructing unit uses a merge mode to reconstruct the coding vector.
5. The image processing device according to claim 1, wherein the reconstructing unit uses an AMVP mode to reconstruct the coding vector.

6. An image processing method performed by an image processing device, comprising:
setting a co-located vector to be available and to be scaled in a candidate list as a condition that both a type of a reference picture of a current block and a type of a reference picture of a co-located block are short-term reference pictures; setting the co-located vector to be available and to be not scaled in the candidate list as a condition that both the type of the reference picture of the current block and the type of the reference picture of the co-located block are long-term reference pictures;
generating a predictive motion vector of a coding vector of the current block using the candidate list;
reconstructing the coding vector by using the generated predictive motion vector; and decoding the current block using the reconstructed coding vector.

Documents

Application Documents

# Name Date
1 10237-CHENP-2013 POWER OF ATTORNEY 23-12-2013.pdf 2013-12-23
2 10237-CHENP-2013 PCT 23-12-2013.pdf 2013-12-23
3 10237-CHENP-2013 FORM-5 23-12-2013.pdf 2013-12-23
4 10237-CHENP-2013 FORM-3 23-12-2013.pdf 2013-12-23
5 10237-CHENP-2013 FORM-2 23-12-2013.pdf 2013-12-23
6 10237-CHENP-2013 FORM-1 23-12-2013.pdf 2013-12-23
7 10237-CHENP-2013 ENGLISH TRANSLATION 4 23-12-2013.pdf 2013-12-23
8 10237-CHENP-2013 ENGLISH TRANSLATION 3 23-12-2013.pdf 2013-12-23
9 10237-CHENP-2013 ENGLISH TRANSLATION 23-12-2013.pdf 2013-12-23
10 10237-CHENP-2013 ENGLISH TRANSLATION 2 23-12-2013.pdf 2013-12-23
11 10237-CHENP-2013 ENGLISH TRANSLATION 1 23-12-2013.pdf 2013-12-23
12 10237-CHENP-2013 DRAWINGS 23-12-2013.pdf 2013-12-23
13 10237-CHENP-2013 DESCRIPTION (COMPLETE) 23-12-2013.pdf 2013-12-23
14 10237-CHENP-2013 DESCRIPTION (COMPLETE) 1 23-12-2013.pdf 2013-12-23
15 10237-CHENP-2013 CORRESPONDENCE OTHERS 23-12-2013.pdf 2013-12-23
16 10237-CHENP-2013 CLAIMS 23-12-2013.pdf 2013-12-23
17 10237-CHENP-2013 ABSTRACT 23-12-2013.pdf 2013-12-23
18 10237-CHENP-2013.pdf 2014-01-09
19 10237-CHENP-2013 FORM-3 16-04-2014.pdf 2014-04-16
20 10237-CHENP-2013 CORRESPONDENCE OTHERS 16-04-2014.pdf 2014-04-16
21 Form-18(Online).pdf 2015-01-20
22 10237-CHENP-2013 FORM-13 19-02-2015.pdf 2015-02-19
23 MARKED COPY.pdf ONLINE 2015-02-20
24 FORM 13.pdf ONLINE 2015-02-20
25 CLEAN COPY.pdf ONLINE 2015-02-20
26 MARKED COPY.pdf 2015-03-13
27 FORM 13.pdf 2015-03-13
28 CLEAN COPY.pdf 2015-03-13
29 10237-CHENP-2013-FORM-3-09-10-2015.pdf 2015-10-09
30 10237-CHENP-2013-CORRESPONDENCE-09-10-2015.pdf 2015-10-09
31 10237-CHENP-2013-FER.pdf 2019-06-21
32 10237-CHENP-2013-Proof of Right (MANDATORY) [11-12-2019(online)].pdf 2019-12-11
33 10237-CHENP-2013-PETITION UNDER RULE 137 [11-12-2019(online)].pdf 2019-12-11
34 Correspondence by Agent_Assignment_16-12-2019.pdf 2019-12-16
35 10237-CHENP-2013-FORM 3 [17-12-2019(online)].pdf 2019-12-17
36 10237-CHENP-2013-OTHERS [19-12-2019(online)].pdf 2019-12-19
37 10237-CHENP-2013-FER_SER_REPLY [19-12-2019(online)].pdf 2019-12-19
38 10237-CHENP-2013-DRAWING [19-12-2019(online)].pdf 2019-12-19
39 10237-CHENP-2013-CORRESPONDENCE [19-12-2019(online)].pdf 2019-12-19
40 10237-CHENP-2013-COMPLETE SPECIFICATION [19-12-2019(online)].pdf 2019-12-19
41 10237-CHENP-2013-CLAIMS [19-12-2019(online)].pdf 2019-12-19
42 10237-CHENP-2013-ABSTRACT [19-12-2019(online)].pdf 2019-12-19
43 Correspondence by Agent _PA_23-12-2019.pdf 2019-12-23
44 10237-CHENP-2013-US(14)-HearingNotice-(HearingDate-20-01-2022).pdf 2021-12-17
45 10237-CHENP-2013-Correspondence to notify the Controller [12-01-2022(online)].pdf 2022-01-12
46 10237-CHENP-2013-FORM-26 [19-01-2022(online)].pdf 2022-01-19
47 10237-CHENP-2013-Written submissions and relevant documents [03-02-2022(online)].pdf 2022-02-03
48 10237-CHENP-2013-PETITION UNDER RULE 137 [03-02-2022(online)].pdf 2022-02-03
49 10237-CHENP-2013-PatentCertificate04-02-2022.pdf 2022-02-04
50 10237-CHENP-2013-IntimationOfGrant04-02-2022.pdf 2022-02-04
51 10237-CHENP-2013-RELEVANT DOCUMENTS [13-09-2023(online)].pdf 2023-09-13

Search Strategy

1 2019-06-0415-30-00_04-06-2019.pdf

ERegister / Renewals

3rd: 25 Apr 2022

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