Successive refinement based Wyner-Ziv video compression

Wyner-Ziv coding enables low complexity video encoding with the motion estimation procedure shifted to the decoder. However, the accuracy of decoder motion estimation is often low, due to the absence of the input source frame (at the decoder). In this paper, we propose a novel Wyner-Ziv successive refinement approach to improve the motion compensation accuracy and the overall compression efficiency of Wyner-Ziv video coding. Our approach encodes each frame by multiple Wyner-Ziv coding layers and uses the progressively refined reconstruction frame to guide the motion estimation for progressively improved accuracy. The proposed approach yields competitive results against state-of-the-art low complexity Wyner-Ziv video coding approaches, and can gain up to 3.8dB over the conventional Wyner-Ziv video coding approach and up to

• Type: Journal
• Year: 2010
• Where: SPIC
• Authors: Xiaopeng Fan, Oscar C. Au, Ngai-Man Cheung, Yan Chen, Jiantao Zhou
• Keywords: Low Complexity, Motion Estimation, Security Privacy, SPIC 2010, Wyner-Ziv Video