Boundary-matching-based error detection using causal neighbor blocks in H.263-coded video

Yong Soo Joo; Tae Sik Kim; Young Deok Chun; Nam Chul Kim

doi:10.1117/12.505149

19 November 2003 Boundary-matching-based error detection using causal neighbor blocks in H.263-coded video

Yong Soo Joo, Tae Sik Kim, Young Deok Chun, Nam Chul Kim

Proceedings Volume 5203, Applications of Digital Image Processing XXVI; (2003) https://doi.org/10.1117/12.505149
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

Abstract

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.

Citation Download Citation

Yong Soo Joo, Tae Sik Kim, Young Deok Chun, and Nam Chul Kim "Boundary-matching-based error detection using causal neighbor blocks in H.263-coded video", Proc. SPIE 5203, Applications of Digital Image Processing XXVI, (19 November 2003); https://doi.org/10.1117/12.505149

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