Interview rate distortion analysis-based coarse to fine bit allocation algorithm for 3-D video coding

Hui YUAN; Sam KWONG; Chuan GE; Xu WANG; Yun ZHANG

doi:10.1109/TBC.2014.2361964

Interview rate distortion analysis-based coarse to fine bit allocation algorithm for 3-D video coding

Hui YUAN
, Sam KWONG
, Chuan GE
, Xu WANG
, Yun ZHANG

Research output: Journal Publications › Journal Article (refereed) › peer-review

11 Citations (Scopus)

Abstract

In three dimensional video coding (3-DVC), it is reasonable to allocate bits for texture videos and depth maps differently as the characteristic of texture videos is different with that of depth maps. In order to improve the accuracy of bit allocation performance for 3-DVC, a more accurate distortion model for virtual view and rate models for texture videos and depth maps are proposed based on interview rate distortion analysis. Based on the proposed models, the bit allocation optimization problem is resolved by a coarse to fine strategy. The proposed bit allocation algorithm is implemented in the High Efficiency Video Coding-based 3-DVC platform version 6.0 (3-D-HTM 6.0). Experimental results demonstrate that the proposed distortion and rate models are accurate; meanwhile, the absolute difference (denoted as "rate inaccuracy") between the actual coding bit rate (RABR ) and the target coding bit rate (RTBR ) of the proposed method is only 2.67% on average; while the rate inaccuracy of the existing planar model-based method is 17.71%. Besides, there is an average 29.68% complexity increment when comparing with the planar model-based method.

Original language	English
Pages (from-to)	614-625
Journal	IEEE Transactions on Broadcasting
Volume	60
Issue number	4
DOIs	https://doi.org/10.1109/TBC.2014.2361964
Publication status	Published - 1 Dec 2014
Externally published	Yes

Funding

This work was supported in part by the National Natural Science Foundation of China under Grant 61201211, Grant 61272289, and Grant 61471348, in part by the Hong Kong Scholar Project under Grant XJ2012029, in part by the City University of Hong Kong Applied Research Grant 9667094, in part by the City University of Hong Kong Shenzhen Research Institute, Shenzhen, China, in part by the Ph.D. Programs Foundation, Ministry of Education of China under Grant 20120131120032, in part by the Excellent Youth Scientist Award Foundation of Shandong Province under Grant BS2012DX021, in part by the China Post-Doctoral Science Foundation Funded Project under Grant 2013M530320, in part by the China Post-Doctoral Special Foundation Funded Project under Grant 2012T50629, in part by the Shandong Post-Doctoral Innovation Project Fund under Grant 201203053, and in part by the Open Research Fund of Key Laboratory of Wireless Sensor Network and Communication under Grant 2013002.

Keywords

3-D video coding
Bit allocation
Depth maps
Rate distortion analysis

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10.1109/TBC.2014.2361964

Cite this

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title = "Interview rate distortion analysis-based coarse to fine bit allocation algorithm for 3-D video coding",

abstract = "In three dimensional video coding (3-DVC), it is reasonable to allocate bits for texture videos and depth maps differently as the characteristic of texture videos is different with that of depth maps. In order to improve the accuracy of bit allocation performance for 3-DVC, a more accurate distortion model for virtual view and rate models for texture videos and depth maps are proposed based on interview rate distortion analysis. Based on the proposed models, the bit allocation optimization problem is resolved by a coarse to fine strategy. The proposed bit allocation algorithm is implemented in the High Efficiency Video Coding-based 3-DVC platform version 6.0 (3-D-HTM 6.0). Experimental results demonstrate that the proposed distortion and rate models are accurate; meanwhile, the absolute difference (denoted as {"}rate inaccuracy{"}) between the actual coding bit rate (RABR ) and the target coding bit rate (RTBR ) of the proposed method is only 2.67\% on average; while the rate inaccuracy of the existing planar model-based method is 17.71\%. Besides, there is an average 29.68\% complexity increment when comparing with the planar model-based method.",

keywords = "3-D video coding, Bit allocation, Depth maps, Rate distortion analysis",

author = "Hui YUAN and Sam KWONG and Chuan GE and Xu WANG and Yun ZHANG",

year = "2014",

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doi = "10.1109/TBC.2014.2361964",

language = "English",

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T1 - Interview rate distortion analysis-based coarse to fine bit allocation algorithm for 3-D video coding

AU - YUAN, Hui

AU - KWONG, Sam

AU - GE, Chuan

AU - WANG, Xu

AU - ZHANG, Yun

PY - 2014/12/1

Y1 - 2014/12/1

N2 - In three dimensional video coding (3-DVC), it is reasonable to allocate bits for texture videos and depth maps differently as the characteristic of texture videos is different with that of depth maps. In order to improve the accuracy of bit allocation performance for 3-DVC, a more accurate distortion model for virtual view and rate models for texture videos and depth maps are proposed based on interview rate distortion analysis. Based on the proposed models, the bit allocation optimization problem is resolved by a coarse to fine strategy. The proposed bit allocation algorithm is implemented in the High Efficiency Video Coding-based 3-DVC platform version 6.0 (3-D-HTM 6.0). Experimental results demonstrate that the proposed distortion and rate models are accurate; meanwhile, the absolute difference (denoted as "rate inaccuracy") between the actual coding bit rate (RABR ) and the target coding bit rate (RTBR ) of the proposed method is only 2.67% on average; while the rate inaccuracy of the existing planar model-based method is 17.71%. Besides, there is an average 29.68% complexity increment when comparing with the planar model-based method.

AB - In three dimensional video coding (3-DVC), it is reasonable to allocate bits for texture videos and depth maps differently as the characteristic of texture videos is different with that of depth maps. In order to improve the accuracy of bit allocation performance for 3-DVC, a more accurate distortion model for virtual view and rate models for texture videos and depth maps are proposed based on interview rate distortion analysis. Based on the proposed models, the bit allocation optimization problem is resolved by a coarse to fine strategy. The proposed bit allocation algorithm is implemented in the High Efficiency Video Coding-based 3-DVC platform version 6.0 (3-D-HTM 6.0). Experimental results demonstrate that the proposed distortion and rate models are accurate; meanwhile, the absolute difference (denoted as "rate inaccuracy") between the actual coding bit rate (RABR ) and the target coding bit rate (RTBR ) of the proposed method is only 2.67% on average; while the rate inaccuracy of the existing planar model-based method is 17.71%. Besides, there is an average 29.68% complexity increment when comparing with the planar model-based method.

KW - 3-D video coding

KW - Bit allocation

KW - Depth maps

KW - Rate distortion analysis

UR - https://www.scopus.com/pages/publications/84917692633

U2 - 10.1109/TBC.2014.2361964

DO - 10.1109/TBC.2014.2361964

M3 - Journal Article (refereed)

SN - 0018-9316

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SP - 614

EP - 625

JO - IEEE Transactions on Broadcasting

JF - IEEE Transactions on Broadcasting

IS - 4

ER -

Interview rate distortion analysis-based coarse to fine bit allocation algorithm for 3-D video coding

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