Iterative search strategy with selective bi-directional prediction for low complexity multiview video coding

Zhi Pin Deng, Yui Lam Chan, Ke Bin Jia, Chang Hong Fu, Wan Chi Siu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

13 Citations (Scopus)


The multiview video coding (MVC) extension of H.264/AVC is the emerging standard for compression of impressive 3D and free-viewpoint video. The coding structure in MVC adopts motion and disparity estimation to exploit temporal and inter-view dependencies in MVC. It results in a considerable increase in encoding complexity. Most of the computational burden comes from uni-directional and bi-directional prediction. In this paper, an iterative search strategy is designed to speed up the uni-directional prediction in MVC. It can work with an adaptive search range adjustment through a confidence measure of a loop constraint to obtain both motion and disparity vectors jointly. Furthermore, a selective bi-directional prediction algorithm is proposed to enhance the coding performance by analyzing the statistical characteristics of bi-directional prediction in MVC. Experimental results demonstrate that, by using the proposed fast search, the temporal and inter-view redundancies of multiview video can be eliminated sufficiently with low complexity.
Original languageEnglish
Pages (from-to)522-534
Number of pages13
JournalJournal of Visual Communication and Image Representation
Issue number3
Publication statusPublished - 1 Apr 2012


  • 3DTV
  • Adaptive search range
  • Bi-directional prediction
  • Disparity estimation
  • Hierarchical B picture
  • JMVC
  • Motion estimation
  • Multiview video coding

ASJC Scopus subject areas

  • Signal Processing
  • Media Technology
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


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