Spatial-domain unidirectional DVC with side-information dependent correlation channel estimation

  • Authors:

  • Nikos Deligiannis;Adrian Munteanu;Tom Clerckx;Jan Cornelis;Peter Schelkens

  • Affiliations:

  • Department of Electronics and Informatics, Interdisciplinary Institute for Broadband Technology, Vrije Universiteit Brussel, Brussels, Belgium;Department of Electronics and Informatics, Interdisciplinary Institute for Broadband Technology, Vrije Universiteit Brussel, Brussels, Belgium;Department of Electronics and Informatics, Interdisciplinary Institute for Broadband Technology, Vrije Universiteit Brussel, Brussels, Belgium;Department of Electronics and Informatics, Interdisciplinary Institute for Broadband Technology, Vrije Universiteit Brussel, Brussels, Belgium;Department of Electronics and Informatics, Interdisciplinary Institute for Broadband Technology, Vrije Universiteit Brussel, Brussels, Belgium

  • Venue:
  • DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
  • Year:
  • 2009

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Abstract

Present distributed video coding (DVC) approaches assume the correlation channel to be side-information independent (SII). We have recently demonstrated that in reality the correlation channel in video is side-information dependent (SID) and that DVC systems which make SII assumptions suffer a significant performance penalty, depending entirely on the correlation statistics of the video data. In this paper, we present a novel spatial domain unidirectional DVC codec which is based on a novel SID technique enabling advanced correlation channel estimation at the decoder starting from a partial knowledge of it. Experimental results show that the proposed codec achieves superior performance compared to the state-of-the-art in Wyner-Ziv video coding while operating without a feedback channel.