CN106028046B - Lagrange multiplier modification method for multi-view depth video coding - Google Patents

Lagrange multiplier modification method for multi-view depth video coding Download PDF

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CN106028046B
CN106028046B CN201610517428.2A CN201610517428A CN106028046B CN 106028046 B CN106028046 B CN 106028046B CN 201610517428 A CN201610517428 A CN 201610517428A CN 106028046 B CN106028046 B CN 106028046B
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霍俊彦
莫冬春
杨付正
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Xi'an Dewey Code Semiconductor Co ltd
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Xidian University
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    • 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
    • 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
    • H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
    • H04N19/124—Quantisation
    • 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
    • H04N19/177—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 a group of pictures [GOP]
    • 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
    • H04N19/70—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards

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Abstract

The invention discloses a kind of Lagrange multiplier modification methods for multi-view depth graph code, it mainly solves not accounting for influence of the same viewpoint texture quality to depth map Lagrange multiplier in the prior art, and the problem for causing the binary encoding performance of 3D video not high.Its implementation is：Before multi-view depth video coding, according to the quantization parameter Q of deep video to be encodeddAnd quantization parameter Q used by being encoded with viewpoint texture videot, construct modifying factor；Lagrange multiplier used by existing depth coding is modified with the modifying factor；Revised Lagrange multiplier is used for during the rate-distortion optimization of depth map encoding.The present invention improves the binary encoding performance of 3D video, can be used for encoding the 3D video of any texture and depth quantization parameter QP combination.

Description

Lagrange multiplier modification method for multi-view depth video coding
Technical field
The invention belongs to technical field of video coding, in particular to a kind of selection method of Lagrange multiplier can be used for During the rate-distortion optimization of multi-view point video depth sequential coding.
Background technique
True depth perception brought by 3D video and visual enjoyment on the spot in person make people to the need of three-dimensional applications It asks and steeply rises, 3D application, the synthesis of multi-view point video technology, virtual view etc. become academic and commercial research and development at present One of hot spot.This two big video standard mechanism of international movement motion picture expert group version MPEG and Video Coding Experts Group VCEG is unified into Vertical 3D Video coding joint group JCT-3V, it is intended to allow the joint group development based under efficient video coding standard HEVC Generation 3D video encoding standard 3D-HEVC.
3D-HEVC standard is using multiple views plus depth MVD format as its data format.MVD data format generally comprises more The texture video of a viewpoint and corresponding deep video encode the bit stream that these data obtain and are sent to decoding end.It utilizes The reconstruction texture video of different points of view and deep video are synthesized institute by the View Synthesis DIBR technology based on depth map, decoding end Need the texture video of virtual view.Theoretically, each viewpoint coding can simultaneously using HEVC coding framework into Row coding, but the distinctive some features of depth map itself are directed to, new encoding tool is developed to improve the whole of 3D video Body coding efficiency.
The coding framework of 3D-HEVC is as shown in Fig. 1, encodes first to the texture of basic viewpoint, then again to it Depth map is encoded, and after basic one frame image of viewpoint coding, then successively encodes the texture and depth of each non-basic viewpoint, such as This circulation is until encoded all video sequences.Due to there is very big crossing redundancy information between multi-view point video, encoding When non-basic viewpoint compression efficiency can be improved using information between viewpoint.It is basic to regard at present in the universal test environment of 3D-HEVC The texture of point and the quantization parameter QP of depth are the combinations of one group of fixation, as shown in table 1.The texture of non-basic viewpoint and depth QP is on the basis of basic viewpoint corresponds to QP value plus Δ QP, Δ QP are defaulted as 3, which can be arranged in coding profile.
During depth map encoding, forced coding mode and parameter are selected by the method for rate-distortion optimization, that is, is selected The smallest coding mode of rate distortion costs J=D+ λ R is selected as final coding mode, wherein D indicates current coding mode Lower bring distortion, R indicate number of coded bits required under current coding mode, and λ is Lagrange multiplier.
Since deep video is not used to direct viewing, but it is used to synthesize virtual view for terminal user's viewing. The purpose of final coding depth figure is the virtual view for obtaining certain mass.And influence the factor of virtual view quality not only only There is depth map, the floor operation in texture video quality, synthesis process there are also a lot of other factors, such as synthesis is all Distortion can be introduced, is only inappropriate as the distortion measurement during rate-distortion optimization by the distortion of depth map itself.So The synthesis viewpoint distortion that present encoding depth block is introduced also is measured as the distortion during rate-distortion optimization.
During the depth coding of 3D-HEVC, View Synthesis distortion variations SVDC is introduced into rate-distortion optimization and is carried out The coding mode of selected depth figure.Due to being distorted the change of mechanism, Lagrange used in depth map during rate-distortion optimization Multiplier should also be corrected accordingly.At present in 3D-HEVC reference software, by the Lagrange during depth map rate-distortion optimization Multiplier is modified with a zoom factor relevant to depth map quantization parameter QP.
Lagrange multiplier can be expressed as the value of a bit for coding.It is generally believed that by texture It is independent from each other between the View Synthesis distortion that coding and depth coding introduce respectively, however texture video quality directly affects Viewing quality is synthesized, when texture coding quality is lower, even if increasing the bit number for being used for depth coding, to synthesis viewing quality Bring is promoted also very little, and Lagrange multiplier when should at this time increase depth coding avoids unnecessary bit Expense.Theoretically, basic viewpoint can be combined with any QP and be encoded.Change when using texture QP, and depth QP is not When change is encoded, the Lagrange multiplier of depth map is only related with depth QP in current encoder standard, and there is no consider texture Influence of the quality to it.Based on the above analysis, it is accurate that the relationship of one-sided consideration Lagrange multiplier and depth map QP do not have Property and universality, the binary encoding performance of 3D video can be reduced when texture QP changes and encodes.
The quantization parameter of table 1 basic viewpoint texture and depth
QPT0 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25
QPD0 51 50 50 50 50 49 48 47 47 46 45 45 44 44 43 43 42 42 41 41 40 39 38 37 36 35 34
Summary of the invention
The present invention in order to overcome the deficiencies of the prior art, in the case where considering texture video quality, provides a kind of for more The Lagrange multiplier modification method of viewpoint deep video coding, to promote the binary encoding performance of 3D video.
Thinking of the invention is：Under the coding framework of current 3D-HEVC, change when using texture QP, and depth QP is not When change is encoded, the Lagrange multiplier of depth map is only related with depth QP.Mean under different texture QP coding situations, The process of same depth QP coding does not consider influence of the texture quality to Lagrange multiplier.Theoretically, more views Point texture video and deep video can be encoded using any QP combination.When texture video quality is preferable, i.e. texture QP compared with Hour, depth plot quality pairing is very big at the quality contribution of view, and at this moment depth map encoding bit can suitably increase, and being equivalent to makes Lagrange multiplier becomes smaller, i.e., exchanges biggish synthesis viewpoint increased quality for a small amount of depth bit.And work as texture video Quality is not good enough, i.e., when texture QP is larger, since the quality of synthesis view is mainly determined by the texture video being distorted, even if depth Coded-bit can not bring greatly the sharply promotion of synthesis viewing quality again, therefore should increase Lagrange multiplier avoid need not The overhead bit wanted.
To achieve the above object, technical scheme is as follows：
(1) before the depth map for encoding basic viewpoint, the Lagrange multiplier that it is used is modified：
(1a) encodes used texture quantization parameter Q according to viewpoint texture videotAnd the quantization of depth to be encoded Parameter Qd, constructing modifying factor is：
k(Qt,Qd)=2aQt+bQd+c <1>
Wherein, a, b, c are the constant factor that three numerical value is different in modifying factor, a=0.3421, b=-0.2402, c =-4.543；
(1b) is modified the Lagrange multiplier used in depth view encoding rate distortion optimization with modifying factor, obtains Revised Lagrange multiplier is：
λ′depth=k (Qt,Qd)·λdepth <2>
Wherein, λdepthFor Lagrange multiplier used by depth map encoding in 3D-HEVC, calculation is：
λdepth=β W2((Qd-12)/3.0)
Wherein, W is weighted factor, which is determined the location of in image group GOP by coding configuration and coded image； β is scale parameter, and whether value is used as reference picture dependent on present image, and when as non-reference picture, value is 1.0, when as reference picture, value is 1.0-Clip3 (0.0,0.5,0.05NB), wherein NBIndicate B in image group GOP The number of frame reference picture.
(1c) is by formula<1>And formula<2>, obtaining the revised Lagrange multiplier of depth map is：
λd′epth=β W2a′Qt+b′Qd+c′
Wherein, constant factor a ', b ', c ' different for three numerical value in Lagrange multiplier, a '=a,c′ =c-4.
(1d) is according to revised Lagrange multiplier λd′epth, obtain Lagrange multiplier used in estimation λmotion：
(2) by revised Lagrange multiplier λ 'depthIt is integrated into the 3D extension 3D-HEVC ginseng of efficient video coding standard It examines in software, obtains the 3D extension 3D-HEVC reference software B of revised efficient video coding standard；
(3) 3D video sequence is encoded with revised reference software B.
Compared with prior art, the present invention having the following advantages that：
First, the present invention is according to the quantization parameter Q of depth map to be encodeddQuantify ginseng with the texture of the encoded texture of same viewpoint Number Qt, construct modifying factor and depth map carried out with revised Lagrange multiplier with being modified to Lagrange multiplier Coding overcomes Lagrange multiplier and the corresponding viewpoint texture quality for not accounting for depth coding use in the prior art Relationship, promotes the binary encoding performance of 3D video, and can be used for compiling the 3D video of any texture depth QP combination Code.
Second, in the case where considering texture video mass change, with corrected reference software B to different 3D standards Cycle tests is encoded, average to save under identical synthesis viewing quality compared with the result of original reference Software Coding 1.3% total bitrate.
Detailed description of the invention
Fig. 1 is the coding framework of existing 3D-HEVC.
Fig. 2 is implementation flow chart of the invention.
Specific embodiment
Below in conjunction with attached drawing and example, present invention is further described in detail.
Referring to Fig. 2, the Lagrange multiplier modification method of multi-view depth video coding of the present invention includes the following steps：
Step 1, the modifying factor and texture quantization parameter Q of depth map Lagrange multiplier are determinedt, depth quantization parameter Qd Relationship.
(1a) sets modifying factor k as 2xForm, variable x are interval variation within the scope of [- 6, -1] with 0.5, are obtained 11 different modifying factors correct the 3D extension 3D-HEVC reference of efficient video coding standard with these modifying factors respectively The Lagrange multiplier that depth coding uses in software, obtains 11 revised reference softwares；
The two viewpoint situation precodings 97 of (1b) with above-mentioned revised reference software to multiple 3D standard test sequences Frame, wherein the texture depth QP combination [Q usedt,Qd] be respectively：[23,34],[25,34],[27,34]；[28,39],[30, 39],[32,39]；[33,42],[35,42],[37,42]；[38,45],[40,45],[42,45]；
(1c) synthesizes the multiple views texture that decoding end is rebuild and deep video between multiple views using View Synthesis algorithm Virtual view view, carried out in the form of BDBR with the result that original 3D-HEVC reference software is encoded in the case where identical QP is combined Compare, the optimal k for combining k corresponding to the best result of performance as the QP.
The View Synthesis algorithm is the use of 3D-HEVC standard based on depth image drafting DIBR algorithm；
The BDBR form, indicates under identical objective quality, the video obtained with revised Software Coding relative to Situation of change of the priginal soft on code rate；
(1d) each texture depth QP combines corresponding optimal modifying factor k and carries out curve fitting, and obtains as follows Relationship：
K=2aQt+bQd+c <1>
Wherein, QtFor texture quantization parameter, QdFor depth quantization parameter, a, b, c are that three numerical value are different in modifying factor Constant factor, value are tested by precoding and are obtained, and different test configurations scenario outcomes have deviation, and the present embodiment takes a =0.3421, b=-0.2402, c=-4.543.
Step 2, the Lagrange multiplier that Corrected Depth coding uses.
(2a) modifying factor k obtained in step 1 multiplies the Lagrange used in depth view encoding rate distortion optimization Son is modified, and is obtained revised Lagrange multiplier and is：
λ′depth=k λdepth <2>
Wherein, λdepthFor Lagrange multiplier used by depth map encoding in existing 3D-HEVC, calculation is：
λdepth=β W2((Qd-12)/3.0)
Wherein, W is weighted factor, which is determined the location of in image group GOP by coding configuration and coded image； β is scale parameter, and whether value is used as reference picture dependent on present image, and when as non-reference picture, value is 1.0, when as reference picture, value is 1.0-Clip3 (0.0,0.5,0.05NB), wherein NBIndicate B in image group GOP The number of frame reference picture；
(2b) is by formula<1>And formula<2>, the revised Lagrange multiplier of depth map is written as following form：
λ′depth=β W2a′Qt+b′Qd+c′
Wherein, constant factor a ', b ', c ' different for three numerical value in Lagrange multiplier, a '=a,c′ =c-4；
(2c) is according to revised Lagrange multiplier λ 'depth, obtain Lagrange multiplier used in estimation λ′motion：
Step 3, by revised Lagrange multiplier λ 'depthIt is integrated into the 3D extension 3D- of efficient video coding standard In HEVC reference software HTM13.0, the 3D extension 3D-HEVC reference software B of revised efficient video coding standard is obtained.
Step 4,3D video sequence is encoded with revised reference software B.
Effect of the invention is further illustrated by following test：
Test content 1：
3D standard test sequences are compiled in 3D-HEVC universal test environment CTC with revised reference software B Code, wherein texture depth QP combines [Qt,Qd] it is [25,34], [30,39], [35,42], [40,45]；With original reference software HTM13.0 encodes 3D standard test sequences under identical texture depth QP combination.
The two coding result is subjected to performance comparison in the form of BDBR, is obtained under identical synthesis viewing quality Encoding texture and depth total bitrate as a result, such as table 2.
The BDBR form, indicates in the case where synthesizing viewing quality, the result obtained with revised Software Coding relative to Situation of change of the priginal soft on code rate, negative sign indicate code rate saving.
Test content 2：
[Q is combined in texture depth QP to 3D standard test sequences with revised reference software Bt,Qd]：[23,34], [28,39], it is encoded under [33,42], [38,45]；With original reference software HTM13.0 under identical texture depth QP combination 3D standard test sequences are encoded.
The two coding result is subjected to performance comparison in the form of BDBR, is obtained under identical synthesis viewing quality The situation of change of total bitrate, such as table 2.
Test content 3：
[Q is combined in texture depth QP to 3D standard test sequences with revised reference software Bt,Qd]：[27,34], [32,39], it is encoded under [37,42], [42,45]；With original reference software HTM13.0 under identical texture depth QP combination 3D standard test sequences are encoded.
The two coding result is subjected to performance comparison in the form of BDBR, is obtained under identical synthesis viewing quality The situation of change of total bitrate, such as table 2.
Test content 4：
[Q is combined in texture depth QP to 3D standard test sequences with revised reference software Bt,Qd]：[21,34], [26,39], it is encoded under [31,42], [36,45]；With original reference software HTM13.0 under identical texture depth QP combination 3D standard test sequences are encoded.
The two coding result is subjected to performance comparison in the form of BDBR, is obtained under identical synthesis viewing quality The situation of change of total bitrate, such as table 2.
Test content 5：
[Q is combined in texture and depth QP to 3D standard test sequences with revised reference software Bt,Qd]：[29,34], [34,39], it is encoded under [39,42], [44,45]；With original reference software HTM13.0 under identical texture depth QP combination 3D standard test sequences are encoded.
The two coding result is subjected to performance comparison in the form of BDBR, is obtained under identical synthesis viewing quality The situation of change of total bitrate, such as table 2.
2 performance comparison result of table
As can be seen from Table 2, to different 3D standard test sequences, under identical synthesis viewing quality, test content 1 Average total bitrate is basically unchanged, and the result of test content 2 can averagely save 0.6% total bitrate, and the result of test content 3 is average 0.7% total bitrate can be saved, the result of test content 4 can averagely save 2.6% total bitrate, and the result of test content 5 is flat 2.5% total bitrate can be saved.
The above content is the specific preferred embodiments of combination to be explained in detail the present invention, but the present invention is not limited to Above embodiment.Person of an ordinary skill in the technical field within the scope of knowledge, this can also not departed from It is made a variety of changes under the premise of invention thinking, all shall be regarded as belonging to protection scope of the present invention.

Claims (2)

1. a kind of Lagrange multiplier modification method for multi-view depth video coding, including：
(1) before the depth map of coding multi-view point video, the Lagrange multiplier that it is used is modified：
(1a) encodes used texture quantization parameter Q according to viewpoint texture videotAnd the quantization parameter of depth to be encoded Qd, constructing modifying factor is：
K=2aQt+bQd+c <1>
Wherein, a, b, c are the constant factor that three numerical value is different in modifying factor, a=0.3421, b=-0.2402, c=- 4.543；
(1b) is modified the Lagrange multiplier used in depth view encoding rate distortion optimization with modifying factor, is corrected Lagrange multiplier afterwards is：
λ′depth=k λdepth <2>
Wherein, λdepthFor Lagrange multiplier used by depth map encoding in existing 3D-HEVC, calculation is：
λdepth=β W2((Qd-12)/3.0)
Wherein, W is weighted factor, which is determined the location of in image group GOP by coding configuration and coded image；β is Scale parameter, whether value is used as reference picture dependent on present image, when as non-reference picture, value 1.0, when When as reference picture, value is 1.0-Clip3 (0.0,0.5,0.05NB), wherein NBIndicate B frame reference in image group GOP The number of image；
(1c) is by formula<1>And formula<2>, the revised Lagrange multiplier of depth map is written as following form：
λ′depth=β W2a′Qt+b′Qd+c′
Wherein, constant factor a ', b ', c ' different for three numerical value in Lagrange multiplier, a '=a,C '=c- 4；
(1d) is according to revised Lagrange multiplier λ 'depth, obtain Lagrange multiplier λ ' used in estimationmotion：
(2) by revised Lagrange multiplier λ 'depthThe 3D extension 3D-HEVC of efficient video coding standard is integrated into reference to soft In part, the 3D extension 3D-HEVC reference software B of revised efficient video coding standard is obtained；
(3) 3D video sequence is encoded with revised reference software B.
2. according to the method described in claim 1, wherein modifying factor is determined by following steps in step (1a)：
(1a1) sets multiple and different modifying factors, is expanded with the 3D that these modifying factors correct efficient video coding standard respectively The Lagrange multiplier that depth coding uses in 3D-HEVC reference software is opened up, revised reference software is obtained；
(1a2) carries out 3D standard test sequences with above-mentioned revised reference software pre- under different texture depth QP combinations Coding；
The multiple views texture that decoding end is rebuild and deep video are synthesized the void between multiple views by (1a3) using View Synthesis algorithm Quasi- viewpoint view, the result encoded with original 3D-HEVC reference software in the case where identical QP is combined is compared, and performance is best As a result the optimal modifying factor that corresponding modifying factor k is combined as the QP；
(1a4) each texture depth QP combines corresponding optimal modifying factor k and carries out curve fitting, and obtains modifying factor With texture quantization parameter Qt, depth quantization parameter QdRelationship：
K=2aQt+bQd+c。
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