Wzs: Wyner-ziv Scalable Predictive Video Coding

نویسندگان

  • Huisheng Wang
  • Ngai-Man Cheung
  • Antonio Ortega
چکیده

A novel Wyner-Ziv scalable (WZS) video coding approach is proposed to enhance MPEG-4 fine granularity scalability (FGS). Starting from the same base layer as MPEG-4 FGS, the proposed coder can achieve higher coding efficiency using Wyner-Ziv coding, by selectively exploiting the high quality reconstruction of the previous frame in the enhancement layer bitplane coding of the current frame. This creates a multi-layer Wyner-Ziv prediction “link”, connecting the same bitplane level between successive frames, to provide more improved prediction as compared to MPEG-4 FGS, while keeping complexity reasonable at the encoder. Since the temporal correlation varies in time and space, a block-based adaptive mode selection algorithm is designed for each bitplane to switch between different coding modes. Experimental results show improved coding efficiency up to 2dB over FGS for video sequences with high temporal correlation.

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تاریخ انتشار 2004