Joint successive correlation estimation and side information refinement in distributed video coding
 
Joint successive correlation estimation and side information refinement in distributed video coding 
 
Nikos Deligiannis, Frederik Verbist, Jurgen Slowack, Rik Van De Walle, Peter Schelkens, Adrian Munteanu
 
Abstract 

This paper presents a novel hash-based distributed video coding (DVC) scheme that combines an accurate online correlation channel estimation (CCE) algorithm with an efficient side information refinement strategy, delivering state-of-the-art compression performance. The proposed DVC scheme applies layered bit-plane Wyner-Ziv coding and successively refines the CCE bit-plane-per-bit-plane during decoding. In addition, the side information is succes-sively refined upon decoding of distinct refinement levels, grouping specific frequency bands of the discrete cosine transform. The proposed system not only outperforms the benchmark in DVC but several state-of-the-art side infor-mation refinement techniques and CCE methods as well.