An auto-regressive model for improved low-delay distributed video coding

Yongbing Zhang; Debin Zhao; Siwei Ma; Ronggang Wang; Wen Gao

doi:10.1117/12.805652

19 January 2009 An auto-regressive model for improved low-delay distributed video coding

Yongbing Zhang, Debin Zhao, Siwei Ma, Ronggang Wang, Wen Gao

Proceedings Volume 7257, Visual Communications and Image Processing 2009; 725712 (2009) https://doi.org/10.1117/12.805652
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

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.

Citation Download Citation

Yongbing Zhang, Debin Zhao, Siwei Ma, Ronggang Wang, and Wen Gao "An auto-regressive model for improved low-delay distributed video coding", Proc. SPIE 7257, Visual Communications and Image Processing 2009, 725712 (19 January 2009); https://doi.org/10.1117/12.805652

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