Early SKIP mode decision for MVC using inter-view correlation |
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| Authors: | Liquan Shen Zhi Liu Tao Yan Zhaoyang Zhang Ping An |
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| Affiliation: | 1. Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, Michigan, 48109;2. Genentech, Inc., Drug Metabolism and Pharmacokinetics, South San Francisco, California, 94080;1. Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, PR China;2. School of Electronic Informatin Engineering, Tianjin University, Tianjin 300072, PR China;3. Department of Electrical and Computer Engineering, Concordia University, Montreal, QC H3G 1M8, Canada;4. Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 3JD, UK;5. Key Laboratory of Electronic Information Countermeasure and Simulation Technology, Ministry of Education, Xidian University, Xian 710071, Shanxi, PR China |
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| Abstract: | In the joint multiview video model (JMVM) proposed by JVT, the variable block-size motion estimation (ME) and disparity estimation (DE) have been employed to determine the best coding mode for each macroblock (MB). These give a high coding efficiency for multiview video coding (MVC), however, they cause a very high computational complexity in encoding system. This paper proposes to reduce the complexities of the ME and DE processes with an early SKIP mode decision algorithm based on the analysis of prediction mode distribution regarding the corresponding MBs in the neighbor view. In this method, the mode decision procedures of most of MBs can be early terminated, and thus much of computation for ME and DE can be greatly reduced. Simulation results demonstrate that our algorithm can achieve computational saving of 46–57% (depending on the tested sequences) with no significant loss of rate-distortion performance. |
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