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Adaptive Multiview Video Coding Scheme Based on Spatiotemporal Correlation Analyses

Yun Zhang, Gang Yi Jiang, Mei Yu, and Yo Sung Ho

Abstract :

In this paper, we propose an adaptive multiview video coding scheme based on spatiotemporal correlation analyses using hierarchical B picture (AMVC-HBP) for the integrative encoding performances, including high compression efficiency, low complexity, fast random access, and view scalability, by integrating multiple prediction structures. We also propose an in-coding mode-switching algorithm that enables AMVC-HBP to adaptively select a better prediction structure in the encoding process without any additional complexity. Experimental results show that AMVC-HBP outperforms the previous multiview video coding scheme based on H.264/MPEG-4 AVC using the hierarchical B picture (MVC-HBP) on low complexity for 21.5%, on fast random access for about 20%, and on view scalability for 11% to 15% on average. In addition, distinct coding gain can be achieved by AMVC-HBP for dense and fast-moving sequences compared with MVC-HBP.

Key word :

Multiview video coding, correlation analyses, random access, view scalability, in-coding mode switching.

DOI :

http://dx.doi.org/10.4218/etrij.09.0108.0350

Cite this :

Yun Zhang, Gang Yi Jiang, Mei Yu, and Yo Sung Ho, "Adaptive Multiview Video Coding Scheme Based on Spatiotemporal Correlation Analyses," ETRI Journal, vol. 31, no. 2, Apr. 2009, pp. 151-161.
http://dx.doi.org/10.4218/etrij.09.0108.0350

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