Consistent-quality distributed video coding framework

  • Authors:
  • Geming Wu;Lifeng Sun;Feng Huang

  • Affiliations:
  • School of Software, Tsinghua University, Beijing, China;Department of Computer Science, Tsinghua University, Beijing, China;Department of Computer Science, Tsinghua University, Beijing, China

  • Venue:
  • PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
  • Year:
  • 2007

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Abstract

In this paper, we address the problem of quality control for distributed video coding (DVC). In a pure DVC framework, the compression performance conflicts with the consistency of the video quality. A hybrid framework is proposed to solve this problem. Wyner-Ziv video coding and zero vector motion compensation are combined to keep the visual quality in consistency while maintaining satisfied compression efficiency. Simulation results show that the proposed framework can effectively reduce the variance of the video quality, and the compression performance is 1-5dB better than pure DVC framework worked in constant quality mode. We also evaluate the decoding efficiency of two multistage decoding (MSD) strategies in Wyner-Ziv coding. Simulate results show that passing soft decision from low level to high level works better in DVC.