WO2014166109A1 - Methods for disparity vector derivation - Google Patents

Methods for disparity vector derivation Download PDF

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Publication number
WO2014166109A1
WO2014166109A1 PCT/CN2013/074145 CN2013074145W WO2014166109A1 WO 2014166109 A1 WO2014166109 A1 WO 2014166109A1 CN 2013074145 W CN2013074145 W CN 2013074145W WO 2014166109 A1 WO2014166109 A1 WO 2014166109A1
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Prior art keywords
view
derived
equal
depth map
nbdv
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Ceased
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PCT/CN2013/074145
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French (fr)
Inventor
Jicheng An
Kai Zhang
Jian-Liang Lin
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MediaTek Singapore Pte Ltd
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MediaTek Singapore Pte Ltd
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Priority to PCT/CN2013/074145 priority Critical patent/WO2014166109A1/en
Priority to EP14782073.2A priority patent/EP2923486A4/en
Priority to PCT/CN2014/075051 priority patent/WO2014166403A1/en
Priority to US14/655,973 priority patent/US9900621B2/en
Priority to CN201480017485.3A priority patent/CN105379257A/en
Publication of WO2014166109A1 publication Critical patent/WO2014166109A1/en
Anticipated expiration legal-status Critical
Priority to US15/869,677 priority patent/US10244259B2/en
Ceased legal-status Critical Current

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
    • H04N19/597—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding specially adapted for multi-view video sequence encoding
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
    • H04N13/10—Processing, recording or transmission of stereoscopic or multi-view image signals
    • H04N13/106—Processing image signals
    • H04N13/161—Encoding, multiplexing or demultiplexing different image signal components
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
    • H04N19/17—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
    • H04N19/176—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/21—Server components or server architectures
    • H04N21/218—Source of audio or video content, e.g. local disk arrays
    • H04N21/21805—Source of audio or video content, e.g. local disk arrays enabling multiple viewpoints, e.g. using a plurality of cameras

Definitions

  • the invention relates generally to Three-Dimensional (3D) video processing.
  • the present invention relates to methods for disparity vector (DV) derivation in 3D video coding.
  • 3D video coding is developed for encoding or decoding video data of multiple views simultaneously captured by several cameras. Since all cameras capture the same scene from different viewpoints, multi-view video data contains a large amount of inter-view redundancy.
  • additional tools which employ DV such as temporal inter-view motion vector candidate (TIVM) in advanced motion vector prediction (AMVP) and merge modes, disparity inter-view motion vector candidate (DIVM) in AMVP and merge modes, and inter-view residual prediction (IVRP), have been integrated to conventional 3D-HEVC (High Efficiency Video Coding) or 3D-AVC (Advanced Video Coding) codec.
  • TIVM temporal inter-view motion vector candidate
  • AMVP advanced motion vector prediction
  • DIVM disparity inter-view motion vector candidate
  • IVRP inter-view residual prediction
  • the DV derivation process has some problems related to the reference view index.
  • the DV derivation is processed as following ordered steps:
  • NBDV neighbouring block disparity vector
  • DoNBDV Depth-oriented NBDV
  • the reference view index of NBDV and view index of depth map may not be the same, currently the depth map is always in base view.
  • DV NBDV or DoNBDV
  • TIVM DIVM
  • IVRP IVRP
  • DoNBDV used for TIVM in AMVP and merge.
  • the reference view of TIVM which is currently the smallest view that included in the reference list, may not be the reference view of the DoNBDV.
  • DoNBDV used for DIVM in AMVP and merge.
  • the reference view of IVRP which is the base view in current test model, may not be the reference view of the NBDV.
  • NBDV derived DV
  • Fig. 1 is a diagram illustrating NBDV scaling to get the reference block in depth map according to an embodiment of the invention.
  • the DV derivation is processed as the following ordered steps:
  • Derive NBDV associated with a reference view index.
  • the view index of derived NBDV is not equal to the view index of depth map, then the derived NBDV is scaled with the view index between these two view indices to get reference block in depth map, as shown in Fig. 1.
  • DV NBDV or DoNBDV
  • TIVM DIVM
  • IVRP IVRP
  • DoNBDV used for temporal inter-view motion vector candidate (TIVM) in AMVP and merge, with one of the following changes.
  • the reference view index of TIVM which is the smallest view that included in the reference list, is not equal to the reference view index of the DoNBDV.
  • the DoNBDV is scaled with the view index between these two view indices.
  • DoNBDV used for disparity inter-view motion vector candidate (DIVM) in AMVP and merge, with one of the following changes.
  • the DoNBDV is scaled with the view index between these two view indices.
  • the NBDV is scaled with the view index between these two view indices.
  • disparity vector derivation methods described above can be used in a video encoder as well as in a video decoder.
  • Embodiments of disparity vector derivation methods according to the present invention as described above may be implemented in various hardware, software codes, or a combination of both.
  • an embodiment of the present invention can be a circuit integrated into a video compression chip or program codes integrated into video compression software to perform the processing described herein.
  • An embodiment of the present invention may also be program codes to be executed on a Digital Signal Processor (DSP) to perform the processing described herein.
  • DSP Digital Signal Processor
  • the invention may also involve a number of functions to be performed by a computer processor, a digital signal processor, a microprocessor, or field programmable gate array (FPGA).
  • processors can be configured to perform particular tasks according to the invention, by executing machine-readable software code or firmware code that defines the particular methods embodied by the invention.
  • the software code or firmware codes may be developed in different programming languages and different format or style.
  • the software code may also be compiled for different target platform.
  • different code formats, styles and languages of software codes and other means of configuring code to perform the tasks in accordance with the invention will not depart from the spirit and scope of the invention.

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)

Abstract

Methods of disparity vector derivation for multi-view video coding and 3D video coding are disclosed. The disparity vector derived for multi-view video coding and 3D video coding can be used for indicating the reference block in reference view for temporal inter-view motion vector candidate in AMVP and merge mode, indicating the reference block in reference view for disparity inter-view motion vector candidate in AMVP and merge mode, indicating the reference block in reference view for inter-view residual prediction, indicating the reference block in depth map for refining DV, or indicating the corresponding block in the inter-view picture for any other tools.

Description

METHODS FOR DISPARITY VECTOR DERIVATION
TECHNICAL FIELD
The invention relates generally to Three-Dimensional (3D) video processing. In particular, the present invention relates to methods for disparity vector (DV) derivation in 3D video coding.
BACKGROUND
3D video coding is developed for encoding or decoding video data of multiple views simultaneously captured by several cameras. Since all cameras capture the same scene from different viewpoints, multi-view video data contains a large amount of inter-view redundancy. To exploit the inter-view redundancy, additional tools which employ DV such as temporal inter-view motion vector candidate (TIVM) in advanced motion vector prediction (AMVP) and merge modes, disparity inter-view motion vector candidate (DIVM) in AMVP and merge modes, and inter-view residual prediction (IVRP), have been integrated to conventional 3D-HEVC (High Efficiency Video Coding) or 3D-AVC (Advanced Video Coding) codec.
Disparity derivation in current 3DV-HTM
In current 3DV-HTM version 6.0, The DV derivation process has some problems related to the reference view index. The DV derivation is processed as following ordered steps:
Derive the neighbouring block disparity vector (NBDV) associated with a reference view index.
Derive the depth-oriented NBDV (DoNBDV) by using the derived NBDV and depth map.
Probleml : The reference view index of NBDV and view index of depth map may not be the same, currently the depth map is always in base view.
After the DV (NBDV or DoNBDV) is derived, it will be used for TIVM, DIVM, and IVRP as follow:
DoNBDV used for TIVM in AMVP and merge.
Problem2: The reference view of TIVM, which is currently the smallest view that included in the reference list, may not be the reference view of the DoNBDV. DoNBDV used for DIVM in AMVP and merge.
Problem3: The reference view of DIVM, which is directly the reference picture may not be the reference view of the DoNBDV.
NBDV used for IVRP
Problem4: The reference view of IVRP, which is the base view in current test model, may not be the reference view of the NBDV.
The above mentioned problems are not presented in the comment test condition, since other inter-view reference pictures apart from the base view are not allowed. However, to enable a more general approach, this should be discussed and possibly made more general in software and text.
SUMMARY
In light of the previously described problems, it is proposed to ensure the reference view of derived DV (NBDV or DoNBDV) is equal to that of depth map, TIVM, DIVM, and IVRP respectively for those four problems.
Other aspects and features of the invention will become apparent to those with ordinary skill in the art upon review of the following descriptions of specific embodiments.
BRIEF DESCRIPTION OF DRAWINGS
The invention can be more fully understood by reading the subsequent detailed description and examples with references made to the accompanying drawings, wherein:
Fig. 1 is a diagram illustrating NBDV scaling to get the reference block in depth map according to an embodiment of the invention.
DETAILED DESCRIPTION
The following description is of the best-contemplated mode of carrying out the invention. This description is made for the purpose of illustrating the general principles of the invention and should not be taken in a limiting sense. The scope of the invention is best determined by reference to the appended claims.
The proposed method is listed as below:
The DV derivation is processed as the following ordered steps:
Derive NBDV associated with a reference view index.
Derive DoNBDV by using the derived NBDV and depth map, with one of the following changes.
If the view index of derived NBDV is not equal to the view index of depth map, then the derived NBDV is scaled with the view index between these two view indices to get reference block in depth map, as shown in Fig. 1.
Use the depth map with view index equal to that of the NBDV.
After the DV (NBDV or DoNBDV) is derived, it will be used for TIVM, DIVM, and IVRP as follows:
DoNBDV used for temporal inter-view motion vector candidate (TIVM) in AMVP and merge, with one of the following changes.
If the reference view index of TIVM, which is the smallest view that included in the reference list, is not equal to the reference view index of the DoNBDV, The DoNBDV is scaled with the view index between these two view indices.
Set the reference view of TIVM to the reference view of DoNBDV.
DoNBDV used for disparity inter-view motion vector candidate (DIVM) in AMVP and merge, with one of the following changes.
If the reference view index of DIVM, which is directly the view index of reference picture, is not equal to the reference view index of the DoNBDV, then the DoNBDV is scaled with the view index between these two view indices.
Set the reference picture to the reference view of DoNBDV.
NBDV used for IVRP, with one of the following changes:
If the reference view index of IVRP, which is the 0 in current test model, is not equal to the reference view index of the NBDV, then the NBDV is scaled with the view index between these two view indices.
Set the reference view of IVRP to the reference view of NBDV.
The disparity vector derivation methods described above can be used in a video encoder as well as in a video decoder. Embodiments of disparity vector derivation methods according to the present invention as described above may be implemented in various hardware, software codes, or a combination of both. For example, an embodiment of the present invention can be a circuit integrated into a video compression chip or program codes integrated into video compression software to perform the processing described herein. An embodiment of the present invention may also be program codes to be executed on a Digital Signal Processor (DSP) to perform the processing described herein. The invention may also involve a number of functions to be performed by a computer processor, a digital signal processor, a microprocessor, or field programmable gate array (FPGA). These processors can be configured to perform particular tasks according to the invention, by executing machine-readable software code or firmware code that defines the particular methods embodied by the invention. The software code or firmware codes may be developed in different programming languages and different format or style. The software code may also be compiled for different target platform. However, different code formats, styles and languages of software codes and other means of configuring code to perform the tasks in accordance with the invention will not depart from the spirit and scope of the invention.
The invention may be embodied in other specific forms without departing from its spirit or essential characteristics. The described examples are to be considered in all respects only as illustrative and not restrictive. To the contrary, it is intended to cover various modifications and similar arrangements (as would be apparent to those skilled in the art). Therefore, the scope of the appended claims should be accorded the broadest interpretation so as to encompass all such modifications and similar arrangements.

Claims

1. A method of disparity vector derivation for multi-view video coding or 3D video coding, comprising:
deriving a disparity vector (DV) used for
(a) indicating a reference block in a reference view for temporal inter-view motion vector candidate (TIVM) in advanced motion vector prediction (AMVP) and merge modes;
(b) indicating a reference block in a reference view for disparity inter-view motion vector candidate (DIVM) in AMVP and merge modes;
(c) indicating a reference block in a reference view for inter- view residual prediction (IVRP);
(d) indicating a reference block in a depth map to refine the derived DV;
(e) indicating a reference block in a depth map to do view synthesis prediction (VSP) compensation (BVSP); or
(f) indicating a corresponding block in an inter-view picture for other tools.
2. The method as claimed in claim 1, when the DV is used to indicate the reference block in TIVM, the reference view of DV is equal to that of TIVM; when the DV is used to indicate the reference block in DIVM, the reference view of DV is equal to that of DIVM; when the DV is used to indicate the reference block in IVRP, the reference view of DV is equal to that of IVRP; when the DV is used to indicate the reference block in the depth map, the reference view of DV is equal to that of the depth map.
3. The method as claimed in claim 1, wherein the DV is derived using a neighboring block based DV (NBDV) method or depth-oriented NBDV (DoNBDV) method.
4. The method as claimed in claim 3, in the derivation process of DoNBDV, if a reference view index of NBDV is not equal to a view index of the depth map, NBDV is scaled to the view of the depth map.
5. The method as claimed in claim 3, the depth map with a view index equal to that of NBDV is used to derive DoNBDV.
6. The method as claimed in claim 3, when the derived NBDV is used to indicate the reference block in the depth map, in the derivation of NBDV, a candidate neighbouring DV with a view index equal to that of the depth map has a higher priority to be selected.
7. The method as claimed in claim 1, wherein the derived DV is scaled to the view of TIVMP when it is used in TIVMP, if a reference view index of the derived D V is not equal to that of TIVMP .
8. The method as claimed in claim 1, wherein the depth to disparity conversion converts a depth sample in the reference block in the depth map to a disparity vector with a view index equal to the view of TIVMP.
9. The method as claimed in claim 1, wherein the reference view of TIVMP is set equal to that of the derived DV when the derived DV is used for TIVMP.
10. The method as claimed in claim 1, wherein the derived DV is scaled to the view of DIVMP when it is used in DIVMP, if a reference view index of the derived DV is not equal to that of DIVMP.
11. The method as claimed in claim 1, wherein the depth to disparity conversion converts a depth sample to a disparity vector with a view index equal to the view of DIVMP.
12. The method as claimed in claim 1, wherein the reference view of DIVMP is set equal to that of the derived DV when the derived DV is used for DIVMP.
13. The method as claimed in claim 1, wherein the derived DV is scaled to the view of IVRP when it is used in IVRP, if a reference view index of the derived DV is not equal to that of IVRP.
14. The method as claimed in claim 1, wherein the depth to disparity conversion converts a depth sample to a disparity vector with a view index equal to the view of IVRP.
PCT/CN2013/074145 2013-04-12 2013-04-12 Methods for disparity vector derivation Ceased WO2014166109A1 (en)

Priority Applications (6)

Application Number Priority Date Filing Date Title
PCT/CN2013/074145 WO2014166109A1 (en) 2013-04-12 2013-04-12 Methods for disparity vector derivation
EP14782073.2A EP2923486A4 (en) 2013-04-12 2014-04-10 Method and apparatus of disparity vector derivation for three-dimensional video coding
PCT/CN2014/075051 WO2014166403A1 (en) 2013-04-12 2014-04-10 Method and apparatus of disparity vector derivation for three-dimensional video coding
US14/655,973 US9900621B2 (en) 2013-04-12 2014-04-10 Method and apparatus of disparity vector derivation for three-dimensional video coding
CN201480017485.3A CN105379257A (en) 2013-04-12 2014-04-10 Method and apparatus of disparity vector derivation for three-dimensional video coding
US15/869,677 US10244259B2 (en) 2013-04-12 2018-01-12 Method and apparatus of disparity vector derivation for three-dimensional video coding

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US20160029045A1 (en) 2016-01-28
WO2014166403A1 (en) 2014-10-16
EP2923486A4 (en) 2016-05-11
US9900621B2 (en) 2018-02-20
US20180139470A1 (en) 2018-05-17
EP2923486A1 (en) 2015-09-30
US10244259B2 (en) 2019-03-26

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