View synthesis distortion model based frame level rate control optimization for multiview depth video coding

Xu WANG*, Sam KWONG, Hui YUAN, Yun ZHANG, Zhaoqing PAN

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

12 Citations (Scopus)


Quality of virtual view image is one of the important issues in multiview depth video coding (MDVC). When people enjoy three dimensional (3D) applications, they may have an unpleasant perceptual experience if the virtual view has low image quality. Thus, high virtual view image quality is mostly expected in the rate control optimization for MDVC with limited channel bandwidth and buffer resources. In this paper, a view synthesis distortion model is proposed first to indicate the importance of each frame in the depth video. Second, to achieve a balance between virtual view image quality and buffer constraint, the proposed view synthesis distortion model is incorporated in the bargain game theoretic model to handle the frame level bit allocation problem for Hierarchical B-picture (HBP) structure. Experimental results demonstrate that the proposed rate control algorithm achieves 0.18 dB BDPSNR gain in average compared to the benchmark. The average mismatch of the proposed algorithm is only 0.71%.

Original languageEnglish
Pages (from-to)189-198
Number of pages10
JournalSignal Processing
Publication statusPublished - Jul 2015
Externally publishedYes

Bibliographical note

Funding Information:
This work was supported in part by the Natural Science Foundation of China under Grants 61272289 , 61102088 , City University of Hong Kong Applied Research Grant (ARG) 9667094 , Shenzhen Emerging Industries of the Strategic Basic Research Project under Grant JCYJ20120617151719115 , the Guangdong Nature Science Foundation under Grant S2012010008457 , and the open research fund of Key Laboratory of Wireless Senor Network & Communication under Grant 2013002 , and was supported in part by a grant from the Shenzhen Research Institute, City University of Hong Kong.

Publisher Copyright:
© 2014 Elsevier B.V.


  • Multiview depth video coding
  • Nash bargaining solution
  • Rate control
  • Virtural view quality


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