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A statistical approach to create side information in distributed video coding

Boekbijdrage - Boekhoofdstuk Conferentiebijdrage

The distributed video coding (DVC) paradigm constitutes a flexible framework where computational complexity can be freely distributed between encoder and decoder, hence favoring up-link oriented video applications where recording devices are modest in terms of computational power and are faced with energy consumption constraints. This contribution presents an original transform domain DVC architecture, which performs hash-based motion estimation at the decoder combined with a novel probabilistic motion compensation technique to generate side information. The proposed probabilistic motion compensation incorporates knowledge of the correlation channel statistics and extracts additional information from the hash. Experimental results report Bjøntegaard rate savings of up to 4.61%, when using the novel probabilistic motion compensation method instead of our previous approach. Moreover, the compression performance of the presented DVC architecture, featuring the proposed probabilistic motion compensation, surpasses the performance of the state-of-the-art DISCOVER codec, showing Bjøntegaard rate savings of up to 15.69%.
Boek: ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC2011
ISBN:978-1-4577-1707-9
Jaar van publicatie:2011
Trefwoorden:Wyner-Ziv video coding, distributed video coding, side information, probabilistic motion compensation, decoder-side motion estimation
  • ORCID: /0000-0001-7290-0428/work/84065548
  • ORCID: /0000-0001-9300-5860/work/71094991
  • ORCID: /0000-0003-0908-1655/work/69212700
  • WoS Id: 000324309300022
  • Scopus Id: 80055106573