Transform Domain WynerZiv Video Coding with Refinement of Noise Residue and Side Information Distributed Video Coding (DVC) is a video coding paradigm which mainly exploits the source statistics at the decoder based on the availability of side information at the decoder. This paper considers feedback channel based Transform Domain WynerZiv (TDWZ) DVC. The coding efficiency of TDWZ video coding does not match that of conventional video coding yet, mainly due to the quality of side information and inaccurate noise estimation. In this context, a novel TDWZ video decoder with noise residue refinement (NRR) and side information refinement (SIR) is proposed. The proposed refinement schemes are successively updating the estimated noise residue for noise modeling and side information frame quality during decoding. Experimental results show that the proposed decoder can improve the RateDistortion (RD) performance of a stateoftheart WynerZiv video codec for the set of test sequences.

A simple reversedcomplexity wynerziv video coding mode based on a spatial reduction framework A spatialresolution reduction based framework for incorporation of a WynerZiv frame coding mode in existing video codecs is presented, to enable a mode of operation with low encoding complexity. The core WynerZiv frame coder works on the Laplacian residual of a lowerresolution frame encoded by a regular codec at reduced resolution. The quantized transform coefficients of the residual frame are mapped to cosets to reduce the bitrate. A detailed ratedistortion analysis and procedure for obtaining the optimal parameters based on a realistic statistical model for the transform coefficients and the side information is also presented. The decoder iteratively conducts motionbased sideinformation generation and coset decoding, to gradually refine the estimate of the frame. Preliminary results are presented for application to the H.263 video codec.