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Proceedings Paper

An auto-regressive model for improved low-delay distributed video coding
Author(s): Yongbing Zhang; Debin Zhao; Siwei Ma; Ronggang Wang; Wen Gao
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Paper Abstract

In this paper, an auto-regressive (AR) model is proposed to generate the side information for low-delay distributed video coding (DVC). The side information generation of current Wyner-Ziv (WZ) frame t consists of two forward AR interpolations. First, each pixel within the rebuilt frame t−1 is approximated as a linear combination of pixels within a spatial neighborhood along the motion trajectory within the rebuilt frame t−2. Applying the least mean square algorithm, the coefficient of the first forward AR model is derived. Secondly, the pixels within the rebuilt frame t−2 are approximated by the corresponding pixels within rebuilt frame t−1. And then the geometric symmetric property of the AR model is exploited to derive the coefficient of the second forward AR model. Finally, the side information is generated as the average of the interpolations obtained by the two forward AR interpolations. The experimental results have demonstrated that the proposed AR model can significantly improve the PSNR of the side information compared to existing motion extrapolation based approaches.

Paper Details

Date Published: 19 January 2009
PDF: 8 pages
Proc. SPIE 7257, Visual Communications and Image Processing 2009, 725712 (19 January 2009); doi: 10.1117/12.805652
Show Author Affiliations
Yongbing Zhang, Harbin Institute of Technology (China)
Debin Zhao, Harbin Institute of Technology (China)
Siwei Ma, Peking Univ. (China)
Ronggang Wang, France Telecom R&D, Beijing, Co., Ltd (China)
Wen Gao, Peking Univ. (China)

Published in SPIE Proceedings Vol. 7257:
Visual Communications and Image Processing 2009
Majid Rabbani; Robert L. Stevenson, Editor(s)

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