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http://dx.doi.org/10.5909/JBE.2010.15.1.052

A PDWZ Encoder Using Code Conversion and Bit Interleaver  

Kim, Jin-Soo (School of Information Communications and Computer Engineering, Hanbat National University)
Kim, Jae-Gon (School of Electronics, Telecommunication & Computer Engineering, Korea Aerospace University)
Seo, Kwang-Deok (Computer & Telecommunications Engineering Division, Yonsei University)
Publication Information
Journal of Broadcast Engineering / v.15, no.1, 2010 , pp. 52-62 More about this Journal
Abstract
Recently, DVC (Distributed Video Coding) is attracting a lot of research works since this enables us to implement a light-weight video encoder by distributing the high complex tasks such as motion estimation into the decoder side. In order to improve the coding efficiency of the DVC, the existing works have been focused on the efficient generation of side information (SI) or the virtual channel modeling which can describe the statistical channel noise well. But, in order to improve the overall performance, this paper proposes a new scheme that can be implemented with simple bit operations without introducing complex operation. That is, the performance of the proposed scheme is enhanced by using the fact that the Wyner-Ziv (WZ) frame and side information are highly correlated, and by reducing the effect of virtual channel noise which tends to be clustered in some regions. For this aim, this paper proposes an efficient pixel-domain WZ (PDWZ) CODEC which effectively exploits the statistical redundancy by using the code conversion and Gray code, and then reduces the channel noise by using the bit interleaver. Through computer simulations, it is shown that the proposed scheme can improve the performance up to 0.5 dB in objective visual quality.
Keywords
DVC; Wyner-Ziv; Gray Code; Bit Interleaver;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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1 B. Girod, A. Aaron, S. Rane and D. Rebollo-Monedero, "Distributed Video Coding," Proceedings of the IEEE, vol. 93, no. 1, pp. 71-83, Jan. 2005.   DOI   ScienceOn
2 R. Puri and K. Ramchandran, "PRISM: A "Reversed" Multimedia Coding Paradigm," in Proc. IEEE Int. Conf. on Image Processing, Barcelona, Spain, Sept. 2003.
3 X. Huang, S. Forchhammer, "Improved Virtual Channel Noise Model for Transform Domain Wyner-Ziv Video Coding," in Proc. ICASSP 2009, April 2009, pp. 921-924.
4 고봉혁, 심혁재, 전병우, "복호 신뢰도에 기반하여 점진적으로 보조정보를 향상시키는 변환영역 Wyner-Ziv 부호화 방법," 방송공학회 논문지, 제13권 제6호, 2008년 11월, pp.892-904.   과학기술학회마을   DOI
5 D. Slepian and J. Wolf, "Noiseless Coding of Correlated Information Sources," IEEE Trans. Information Theory, vol IT-19, no. 4, pp. 471-480, July 1973.
6 박천호, 심혁재, 전병우, "잡음 모델 선택을 이용한 Wyner-Ziv 비디오 압축," 전자공학회 논문지, 제46권, 제4호, 2009년 7월, pp.445-453.   과학기술학회마을
7 D. Mukherjee, B. Macchiavello and R. Queiroz, "A Simple Reversed-Complexity Wyner-Ziv Video Coding Mode Based on a Spatial Reduction Framework," in Proc. of SPIE Visual Com. and Img., vol.6508, pp.1Y1-1Y12, Jan 2007.
8 Y. Li, S. Ma, D. Zhao, W. Gao, "Modeling Correlation Noise Statistics at Decoder for Multi-view Distributed Video Coding," in Proc. ISCAS 2009, May 2009, pp. 2597-2600.
9 A. Wyner and J. Ziv, "The Rate-distortion Function for Source Coding with Side Information at the Decoder," IEEE Trans. Information Theory, vol 22, pp. 1-10, Jan. 1976.   DOI
10 A. Aaron, R. Zhang, and B. Girod, "Wyner-Ziv Coding for Motion Video," in Proc. Asilomar Conference on Signals, Systems and Computers, Pacific Grove, USA, Nov. 2002.
11 E. Peixoto, R. L. Queiroz and D. Mukherjee, "On Side Information Generation for Wyner-Ziv Video Coding," in Proc. of Simposio Brasileiro de Tel., Rio de Janeiro, Brazil, Sept. 2008.
12 C. Brites, Pereira, F., "Correlation Noise Modeling for Efficient Pixel and Transform Domain Wyner–Ziv Video Coding," IEEE Trans. Circuits and Systems, vol. 18, no. 9, Sept. 2008, pp. 1177-1190.
13 D. Chen, D. Varodayan, M. Flierl, B. Girod, "Wyner-Ziv Coding of Multiview Images with Unsupervised Learning of Disparity and Gray Code," in Proc. IEEE Int. Conf. on Image Processing, San Diego, California, Oct. 2008.
14 C. Brites, J. Ascenso, F. Pereira, "Studying Temporal Correlation Noise Modeling for Pixel Based Wyner-Ziv Video Coding," in Proc. IEEE Int. Conf. on Image Processing, pp.273-276, Oct 2006.
15 J-s Kim, J-G Kim, K-d Seo, "A Side Information Generation Using Adaptive Estimation and Its Performance Comparison in PDWZ CODEC," to be appeared in J. of the Korea Institute of Maritime Info. & Comm. Sci., April 2010.   과학기술학회마을   DOI
16 N. Anatrasirichai, D. Agrafiotis, M. Ouaret, F. Dufaux, T. Ebrahimi, "Performance Evaluation of Two State of the Art DVC Codecs," in Proc. ICDSC 2009, Aug. 2009.
17 L. Qing, X. He, R. Lv, "Modeling Non-stationary Correlation Noise Statistics for Wyner-Ziv Video Coding," in Proc. ICWAPR '07, vol. 1, Nov. 2007, pp. 316-320.
18 Z. Li, L. Liu and E. J. Delp, "Rate-distortion Analysis of Motion Side Estimation in Wyner-Ziv Video Coding," IEEE Trans. on Image Processing, vol. 16, no. 1, pp. 98-113, Jan. 2007.   DOI   ScienceOn