Mr. Yongpeng Li Profile

Yongpeng Li

at Joint Research & Development Lab

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Proceedings Article | 28 January 2008 Paper

Region-based fusion strategy for side information generation in DMVC

Yongpeng Li, Xiangyang Ji, Debin Zhao, Wen Gao

Proceedings Volume 6822, 68221Y (2008) https://doi.org/10.1117/12.767432

KEYWORDS: Video coding, Computer programming, Motion models, Statistical modeling, Cameras, Statistical analysis, Motion estimation, Francium, Video surveillance, Error control coding

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The coding efficiency of Wyner-Ziv frames relies considerably on the quality of side information and the capability to model the statistical dependency between the original frame and side information. In the field of distributed multi-view video coding (DMVC), there are two kinds of side information, namely temporal side information (TSI), which is generated by exploiting the temporal correlation, and inter-view side information (IVSI), which is generated by exploiting the inter-view correlation. This paper proposes a new fusion method to get better side information by the region-based combination of TSI and IVSI. Besides, an improved statistical model of "correlation channel" is proposed to estimate the statistical dependency between the original frame and side information at the decoder. We call it Region-based Correlation Channel Model (RCCM). The RCCM models the "correlation channel" between original frame and side information at a fine granularity level by detecting the spatial quality variation of side information within each Wyner-Ziv frame. Experimental results demonstrate that the RCCM can more accurately model the "correlation channel" between the original frame and side information and thus, less bits are required for decoding a Wyner-Ziv frame.

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