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Proceedings Paper

Boundary-matching-based error detection using causal neighbor blocks in H.263-coded video
Author(s): Yong Soo Joo; Tae Sik Kim; Young Deok Chun; Nam Chul Kim
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Paper 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.

Paper Details

Date Published: 19 November 2003
PDF: 8 pages
Proc. SPIE 5203, Applications of Digital Image Processing XXVI, (19 November 2003); doi: 10.1117/12.505149
Show Author Affiliations
Yong Soo Joo, Kyungpook National Univ. (South Korea)
Tae Sik Kim, Kyungpook National Univ. (South Korea)
Young Deok Chun, Kyungpook National Univ. (South Korea)
Nam Chul Kim, Kyungpook National Univ. (South Korea)

Published in SPIE Proceedings Vol. 5203:
Applications of Digital Image Processing XXVI
Andrew G. Tescher, Editor(s)

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