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Efficient Correlation Noise Modeling and Performance Analysis for Distributed Video Coding System
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 Title & Authors
Efficient Correlation Noise Modeling and Performance Analysis for Distributed Video Coding System
Moon, Hak-Soo; Lee, Chang-Woo; Lee, Seong-Won;
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 Abstract
In the distributed video coding system, the parity bits, which are generated in encoders, are used to reconstruct Wyner-Ziv frames. Since the original Wyner-Ziv frames are not known in decoders, the efficient correlation noise modeling for turbo or LDPC code is necessary. In this paper, an efficient correlation noise modeling method is proposed and the performance is analyzed. The method to estimate the quantization parameters for key frames, which are encoded using H.264 intraframe coding technique, is also proposed. The performance of the proposed system is evaluated by extensive computer simulations.
 Keywords
Distributed Video Coding System;Correlation Noise Modeling;Wyner-Ziv Frame;Turbo Code;Quantization Parameter;
 Language
Korean
 Cited by
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 References
1.
B. Girod, A. Aaron, S. Rane, and D. Rebollo-Monedero, "Distributed video coding," Proc. IEEE, Vol.93, No.1, pp.71-83, Jan., 2005. crossref(new window)

2.
A. Aaron, S. Rane, E. Setton and B. Girod, "Transform-domain Wyner-Ziv codec for video," in Proc. SPIE Visual Communications and Image Processing, San Jose, CA, pp. 520-528, Jan., 2004.

3.
C. Brites and F. Pereira, "Correlation noise modeling for efficient pixel and transform domain Wyner-Ziv video coding," IEEE Trans. on Circuits and Systems for Video Technology, Vol.18, No.9, pp.1177-1190, Sep., 2008. crossref(new window)

4.
C. Berrou, A. Glacieux, "Near optimum error correcting coding and decoding: turbo-codes," IEEE Trans. on Comm., Vol.44, pp.1261-1271, Oct., 1996. crossref(new window)

5.
R. G. Gallager, "Low-density parity-check codes," IRE Trans. Inform. Theory, Vol.IT-8, pp.21-28, Jan., 1962.

6.
S. Ma, W. Gao, and Y. Lu, "Rate-distortion analysis for H.264/AVC video coding and its application to rate control," IEEE Trans. Circuits Syst. Video Technol., Vol.15, No.12, pp.1533-1544, Dec., 2005. crossref(new window)

7.
H. Wang and S. Kwong, "A rate-distortion optimization algorithm for rate control in H.264," in Proc. IEEE ICASSP, 2007, Vol.1, pp.1149-1152.

8.
D. Kubasov, J. Nayak, and C. Guillemot, "Optimal reconstructionin Wyner-Ziv video coding with multiple side information," in Proc.IEEE Workshop Multimedia Signal Process., Crete, Greece, Oct., 2007, pp.183-186.

9.
J. D. Areia, F. Pereira,W.A.C. Fernando, "Impact of the key frames quality on the overall Wyner-Ziv video coding performance," in ELMAR-2008. 50th International Symposium, zadar, Croatia, Vol.2, pp.467-470 sept., 2008.