Side Information Enhancement via Texture and Motion Activity Analysis in Distributed Video Coding This paper investigates how to exploit the artifacts constraint to enhance the quality of side information (SI) in distributed video coding (DVC). The idea originates from the observation that there are usually some regions shown as artifacts in the interpolated SI, which seriously degrade the overall performance of the DVC system, especially when the GOP size is large. Encouraged by the previous work about the backward channel in the literature, we propose a simple and effective DVC scheme based on artifact detection and removal. On one hand, texture analysis via dynamic range and local entropy is utilized to determine artifact regions in spatial domain. On the other hand, motion activity evaluation is used to determine artifact regions in temporal domain, and temporal local entropy difference is further employed to eliminate the effect of other factors like brightness variance. After the artifact blocks are detected, we recode them in intra mode and replace the colocated ones at the decoder side so that the quality of SI is enhanced. Experimental results demonstrate that the proposed SI quality enhancement technique is effective.

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.