In this paper, we propose an effective boundary matching based error detection algorithm using causal neighbor blocks in H.263 coded video to improve video quality degraded from channel error. The proposed algorithm first calculates boundary mismatch powers between a current block and one of its causal neighbor blocks. It then decides that a current block should be normal if all the mismatch powers are less than an adaptive threshold, which is adaptively determined using the statistics of the two adjacent blocks. In some expeirments under the environment of 16 bits burst error at bit error rates (BERs) of 10-4~10-3, it is shown that the proposed algorithm yields the improvements of maximum 20% in error detection rate and of maximum 3.5 dB in PSNR of concealed frames, compared with Zeng's error detection algorithm.
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