An Error Concealment Approach for Pixel Based Wyner-Ziv Video Coding

In the new Wyner-Ziv (WZ) video coding paradigm, a virtual correlation channel is assumed between the quantized source and the side information (SI) at the decoder, and channel coding is generally applied to achieve compression. In this paper, we address errors caused by the virtual correlation channel and propose an error concealment approach for pixel-based WZ video coding. In the approach, errors after decoding are classified into two types. Type 1 errors are caused by the residual bit errors after channel decoding, while type 2 errors are due to low quality of SI in part of a frame which causes SI not lying within the quantization bin of a decoded quantized pixel value. Two separate strategies are respectively designed to detect and conceal the two types of errors. Simulations are carried out and the results are presented to demonstrate the effectiveness of the proposed approach.