Multiview coding mode decision with hybrid optimal stopping model.

Tiesong Zhao, Sam Kwong, Hanli Wang, Zhou Wang, Zhaoqing Pan, C-C Jay Kuo
Author Information
  1. Tiesong Zhao: Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong. ztiesong@uwaterloo.ca

Abstract

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.

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