Multi-hypothesis based multi-view distributed video coding

  • Authors:

  • Yongpeng Li;Hongbin Liu;Xianming Liu;Siwei Ma;Debin Zhao;Wen Gao

  • Affiliations:

  • Chinese Academy of Sciences, Graduate University, Beijing, China;School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China;School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China;School of Electronics Engineering and Computer Science, Peking University, Beijing, China;School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China;School of Electronics Engineering and Computer Science, Peking University, Beijing, China

  • Venue:
  • PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
  • Year:
  • 2009

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Abstract

This paper proposes a multi-hypothesis based Wyner-Ziv (WZ) decoder for the multi-view distributed video coding (MDVC). Two hypotheses, the intra-view SI and the interview SI, are fed together into the WZ decoder in the proposed scheme. A multi-hypothesis based correlation model (MHBCM) is presented to fully exploit the redundancy between these two SI frames and the original frame. The MHBCM is also applied on the optimal minimum mean-square error reconstruction of the quantized samples. The simulation results show that the proposed algorithms are able to significantly improve the coding efficiency of the MDVC system.