Studying Temporal Correlation Noise Modeling for Pixel Based Wyner-Ziv Video Coding

Wyner-Ziv (WZ) video coding-a particular case of distributed video coding (DVC)-is a new video coding paradigm based on two major information theory results: the Slepian-Wolf and Wyner-Ziv theorems. Recently, practical WZ video coding solutions were proposed with promising results. Most of the solutions available in the literature, model the correlation noise between the original frame and the so-called side information by a given distribution whose relevant parameters are estimated in an offline process, at the encoder. In this paper, three algorithms are proposed towards a more realistic WZ coding approach by performing online estimation of the error distribution at the decoder. Both algorithms explore temporal correlation between frames however with different levels of granularity: frame, block and pixel levels; better rate-distortion (RD) performance is achieved for lower granularity (pixel) level.