Smooth View Quality Oriented Bit Allocation Optimization for 3D Video Coding

Xu Wang, Sam Kwong, Wei Gao, Yu Zhou, Hui Yuan, Yun Zhang

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

1 Citation (Scopus)

Abstract

View level bit allocation is an fundamental optimization problem in multiview video plus depth (MVD) based 3D video coding (3DVC). In this paper, we propose a smooth view quality oriented view level bit allocation framework for MVD based 3DVC. The Cauchy-density based rate-distortion model of the texture video and depth map are employed to represent the rate distortion properties. The relationship between the distortion of synthesized view and quantization step size of texture videos and depth maps is approximately fitted as linear model. Final, the bit allocation problem is solved by convex optimization algorithms. Experimental results demonstrated that our proposed algorithm can achieve good performance with acceptable computational complexity comparing to the full search scheme.
Original languageEnglish
Title of host publicationThe 2015 IEEE International Conference on Systems, Man, and Cybernetics SMC 2015
Subtitle of host publicationProceedings
PublisherIEEE
Pages1764-1769
ISBN (Electronic)978-1-4799-8697-2
DOIs
Publication statusPublished - Oct 2015
Event2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2015) - City University of Hong Kong, Hong Kong, China
Duration: 9 Oct 201512 Oct 2015

Conference

Conference2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2015)
PlaceHong Kong, China
Period9/10/1512/10/15

Research Keywords

  • View Level Bit Allocation
  • 3D Video Coding
  • Multiview Video Plus Depth

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