Recovery of coded video sequences from channel errors

In this paper, we propose a method to recover good quality pictures from channel errors in the transmission of coded video sequences. This work is basically an extension of the work presented in to video sequence coding. Transmitted information in most video coding standards is mainly composed of motion vectors (MV) and motion-compensated prediction errors (MCPE). The compressed data are transmitted in binary form through a noisy channel in general. Channel errors in this bit stream result in objectionable degradations in consecutive reconstructed frames. Up to now, there have been many studies for concealing the effects of channel errors on the reconstructed images, but they did not consider recovery of the actual binary data and instead just utilized replacement and/or interpolation techniques to make errors less visible to an observer. In order to have a simple and powerful method to recover the video sequences separately in MV and MCPE from errors, it is necessary to take full advantage of both the source and channel characteristics. The proposed method takes advantage of single-bit-error dominance in a received bit string by using a parity bit for error detection. It also takes advantage of high pixel correlation in usual images by using side- match criterion in selecting the best-fit among candidate replacements.