Probabilistic motion-compensated prediction in distributed video coding

Distributedvideocoding(DVC)constitutesanoriginalcodingframeworktomeet the stringent requirements imposed by uplink-oriented and low-power mobile video appli- cations. The quality of the side information available to the decoder and the efficiency of the employed channel codes are primary factors determining the success of a DVC system. This contribution introduces two novel techniques for probabilistic motion compensation in order to generate side information at the Wyner-Ziv decoder. The employed DVC scheme uses a base layer, serving as a hash to facilitate overlapped block motion estimation at the decoder side. On top of the base layer, a supplementary Wyner-Ziv layer is coded in the DCT domain. Both proposed probabilistic motion compensation techniques are driven by the actual correlation channel statistics and reuse information contained in the hash. Experi- mental results report significant rate savings caused by the novel side information generation methods compared to previous techniques. Moreover, the compression performance of the presented DVC architecture, featuring the proposed side-information generation techniques, delivers state-of-the-art compression performance.

Publication year:2012

Keywords:Wyner-Ziv coding, Distributed video coding, Hash-based side information generation, Probabilistic motion compensation, video coding