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Proceedings Paper

Distributed video coding based on constrained rate adaptive low density parity check codes
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Paper Abstract

In this paper, we present a distributed video coding scheme based on zero motion identification at the decoder and constrained rate adaptive low density parity check (LDPC) codes. Zero-motion-block identification mechanism is introduced at the decoder, which takes the characters of video sequence into account. The constrained error control decoder can use the bits in the zero motion blocks as a constraint to achieve a better decoding performance and further improve the overall video compression efficiency. It is only at the decoder side that the proposed scheme exploits temporal and spatial redundancy without introducing any additional processing at the encoder side, which keeps the complexity of the encoding as low as possible with certain compression efficiency. As a powerful alternative to Turbo codes, LDPC codes have been applied to our scheme. Since video data are highly non-ergodic, we use rate-adaptive LDPC codes to fit this variation of the achievable compression rate in our scheme. We propose a constrained LDPC decoder not only to improve the decoder efficiency but also to speed the convergence of the iterative decoding. Simulation demonstrates that the scheme has significant improvement in the performances. In addition, the proposed constrained LDPC decoder may benefit other application.

Paper Details

Date Published: 29 January 2007
PDF: 9 pages
Proc. SPIE 6508, Visual Communications and Image Processing 2007, 65080R (29 January 2007); doi: 10.1117/12.701060
Show Author Affiliations
Rong Ke Liu, Beijing Univ. of Aeronautics and Astronautics (China)
Guo Gang Hua, Florida Institute of Technology (United States)
Chang Wen Chen, Florida Institute of Technology (United States)


Published in SPIE Proceedings Vol. 6508:
Visual Communications and Image Processing 2007
Chang Wen Chen; Dan Schonfeld; Jiebo Luo, Editor(s)

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