Maximum likelihood estimation for the generation of side information in distributed video coding

Frederik Verbist, Nikolaos Deligiannis, Marc Jacobs, Joeri Barbarien, Peter Schelkens, Adrian Munteanu, Jan Cornelis

Research output: Chapter in Book/Report/Conference proceedingConference paper

1 Citation (Scopus)


The unique requirements imposed by contemporary video communication applications promote the rise of the distributed video coding paradigm, which offers flexible complexity allocation and error resilience combined with competitive compression performance. This work proposes a novel Wyner-Ziv video coding scheme, performing hash-based motion estimation at the decoder. Subsequently, maximum likelihood estimation generates side information from a collection of candidate predictor values. Moreover, a supplemental Wyner-Ziv enhancement layer is coded in the transform domain. The presented Wyner-Ziv coding scheme delivers state-of-the-art compression performance, achieving average Bjøntegaard rate savings of up to 9.31% compared to a state-of-the-art reference codec.
Original languageEnglish
Title of host publication18th International Conference on Systems, Signals and Image Processing (IWSSIP2011)
Number of pages4
Publication statusPublished - Jun 2011
EventUnknown -
Duration: 1 Jun 2011 → …


Period1/06/11 → …


  • distributed video coding
  • Wyner-Ziv video coding
  • maximum likelihood estimation
  • motion estimation


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