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Proceedings Paper

Joint optimization of source coding, channel coding, and error concealment for wireless video transmission
Author(s): Yingjun Su; Jing Wang; Jinshu Chen; Jianhua Lu
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Paper Abstract

This paper proposes a new methodology of joint optimization among source coding, channel coding and error concealment for wireless video transmission. Specifically, a generalized distortion-rate function (GDRF), which reflects the relation between the source coding rates, channel coding rates and the end-to-end distortion consisting of quantization distortion, channel loss distortion compensated by error concealment, is established. Moreover, a classification algorithm with modified equal mean-normalized standard deviation is proposed to employ the GDRF for optimal source-channel bit-allocation. Simulation results manifest that the proposed methodology outperforms conventional joint source-channel coding (JSCC) schemes, with computational complexity being quite acceptable for real time video applications.

Paper Details

Date Published: 20 November 2001
PDF: 9 pages
Proc. SPIE 4474, Advanced Signal Processing Algorithms, Architectures, and Implementations XI, (20 November 2001); doi: 10.1117/12.448677
Show Author Affiliations
Yingjun Su, Tsinghua Univ. (China)
Jing Wang, Tsinghua Univ. (China)
Jinshu Chen, Tsinghua Univ. (China)
Jianhua Lu, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 4474:
Advanced Signal Processing Algorithms, Architectures, and Implementations XI
Franklin T. Luk, Editor(s)

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