Adaptive Error Detection Using Causal Block Boundary Matching in Block-Coded Video 


Vol. 29,  No. 8, pp. 1125-1132, Aug.  2004


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  Abstract

In this paper, we proposed an effective boundary matching based error detection algorithm using causal neighbor blocks to improve video quality degraded from channel error in block-coded video The proposed algorithm first calculates boundary mismatch powers between a current block and each 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 experiments under the environment of 16bits burst error at bit error rates (BERs) of 10^-³!10^-⁴, it is shown that the proposed algorithm yields the improvements of maximum 20％ in error detection rate of maximum 35㏈ in PSNR of concealed frames, compared with Zeng's error detection algorithm.

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  Cite this article

[IEEE Style]

Y. Kim, T. Kim, N. Kim, "Adaptive Error Detection Using Causal Block Boundary Matching in Block-Coded Video," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 8, pp. 1125-1132, 2004. DOI: .

[ACM Style]

Yong-Soo Kim, Tae-Sik Kim, and Nam-Chul Kim. 2004. Adaptive Error Detection Using Causal Block Boundary Matching in Block-Coded Video. The Journal of Korean Institute of Communications and Information Sciences, 29, 8, (2004), 1125-1132. DOI: .

[KICS Style]

Yong-Soo Kim, Tae-Sik Kim, Nam-Chul Kim, "Adaptive Error Detection Using Causal Block Boundary Matching in Block-Coded Video," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 8, pp. 1125-1132, 8. 2004.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880