Multiview coding mode decision with hybrid optimal stopping model

Tiesong ZHAO, Sam KWONG, Hanli WANG, Zhou WANG, Zhaoqing PAN, C.-C. Jay KUO

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

23 Citations (Scopus)


In a generic decision process, optimal stopping theory aims to achieve a good tradeoff between decision performance and time consumed, with the advantages of theoretical decision-making and predictable decision performance. In this paper, optimal stopping theory is employed to develop an effective hybrid model for the mode decision problem, which aims to theoretically achieve a good tradeoff between the two interrelated measurements in mode decision, as computational complexity reduction and rate-distortion degradation. The proposed hybrid model is implemented and examined with a multiview encoder. To support the model and further promote coding performance, the multiview coding mode characteristics, including predicted mode probability and estimated coding time, are jointly investigated with inter-view correlations. Exhaustive experimental results with a wide range of video resolutions reveal the efficiency and robustness of our method, with high decision accuracy, negligible computational overhead, and almost intact rate-distortion performance compared to the original encoder. © 1992-2012 IEEE.
Original languageEnglish
Pages (from-to)1598-1609
JournalIEEE Transactions on Image Processing
Issue number4
Early online date20 Dec 2012
Publication statusPublished - Apr 2013
Externally publishedYes


  • Inter-view prediction
  • mode characteristics
  • mode decision
  • multiview video coding
  • optimal stopping


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