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Statistical early termination model for fast mode decision and reference frame selection in multiview video coding

Yun Zhang, Sam Kwong, Gangyi Jiang, Xu Wang, Mei Yu

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Multiview Video Coding (MVC) adopts exhaustive variable size mode decision and multiple reference frame selection to significantly improve high compression efficiency at each macroblock. However, these two technologies increase the computational complexity of MVC encoders tremendously. In this paper, we propose an efficient Statistical DIRECT Mode Early Termination (SDMET) model which estimates the rate distortion degradation, false acceptance rate and false reject rate of early DIRECT mode decision. It can adaptively adjust the rate distortion cost threshold not only according to the quantization parameter, but also the video content and motion properties. Experimental results show that SDMET can reduce 42.40% to 65.60% computation complexity for fast mode decision. When it is jointly optimized with fast multi-reference frame selection, the proposed overall algorithm can achieve 79.57% to 89.21% computational complexity reduction with unnoticeable rate distortion degradation. Additionally, the proposed SDMET and the overall fast mode decision algorithm can be applied to both temporal views and inter-view views in MVC. © 2011 IEEE.
Original languageEnglish
Article number6111327
Pages (from-to)10-23
JournalIEEE Transactions on Broadcasting
Volume58
Issue number1
DOIs
Publication statusPublished - Mar 2012

Research Keywords

  • Digital video broadcasting
  • early termination
  • mode decision
  • multiview video
  • video coding

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