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Proceedings Paper

Error detection and correction using the correlation of the parameters in MPEG-2 video bitstream
Author(s): Dong-Hwan Choi; Sang-Hak Lee; Chan-Sik Hwang
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Paper Abstract

A new error detection and correction method is proposed that relies on the correlations among the syntax parameters of an MPEG-2 bitstream. Since MPEG-2 has led to a variety of applications, the MPEG-2 video specification is quite flexible. The header parameters in a video-coding standard are very important, as the syntax elements, tables, and decoding processes all depend on the values of the header information. Therefore, transmission errors in the header information not only result in a serious visual degradation of the output video, but also cause an abnormal decoding process. A number of error detection and correction techniques have already been developed to recover the MPEG-2 visual quality. However, since most of these methods only consider macroblock data information including quantized DCT coefficients, they are unable to produce good results with videos that include errors in the header information. Accordingly, the current paper proposes a method for detecting and correcting bit errors in headers based on the correlations between header parameters, between consecutive pictures, and between macroblock data and header parameters. As a result, even if bit errors are generated in header parameters, which are crucial to successful decoding, experimental results showed that the proposed header error detection and correction method can improve the video quality without increasing the transmission bit rate.

Paper Details

Date Published: 10 December 2002
PDF: 11 pages
Proc. SPIE 4861, Multimedia Systems and Applications V, (10 December 2002); doi: 10.1117/12.455684
Show Author Affiliations
Dong-Hwan Choi, Kyungpook National Univ. (South Korea)
Sang-Hak Lee, Dongyang Univ. (South Korea)
Chan-Sik Hwang, Kyungpook National Univ. (South Korea)


Published in SPIE Proceedings Vol. 4861:
Multimedia Systems and Applications V
Andrew G. Tescher; Bhaskaran Vasudev; V. Michael Bove; Ajay Divakaran, Editor(s)

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