Robust error concealment algorithm for video decoder

Compressed video can suffer severe degradation over practical communication channels. When bit errors occur during transmission and cannot be corrected by an error correction scheme, error concealment is needed to conceal the corrupted image at the receiver. It is well known that error recovery strategies by post-processing in the video decoder mitigate the effects of transmission errors by synthesizing information corresponding to the lost data by exploiting available redundancy in the decoded pictures. Previously, we have developed a technique that combines the side match criterion and overlapped motion compensation to make the effect of lost motion vectors subjectively imperceptible. In order to improve the performance, the robust and effective genetic algorithm (GA) and the side match criterion are used in this paper to get the best replacement for the lost image. Experimental results demonstrate that the proposed method has the better performance than the algorithms obtained by conventional temporal or spatial concealment techniques.

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