The Journal of China Universities of Posts and Telecommunications

Acta Metallurgica Sinica(English letters) ›› 2014, Vol. 21 ›› Issue (1): 109-115.doi: 10.1016/S1005-8885(14)60276-4

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Improved side information generation algorithm for Wyner-Ziv video coding

  

  1. 1. Sci-Tech Park of Internet of Things, Nanjing University of Posts and Telecommunication, Nanjing 210003, China 2. Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunication, Nanjing 210003, China
  • Received:2013-08-07 Revised:2013-10-17 Online:2014-02-28 Published:2014-02-28
  • Supported by:

    This work was supported by the National Natural Science Foundation of China (61071093), the Hi-Tech Research and Development Program of China (2010AA701202), the Sweden-Asian International Cooperation Project (348-2008-6212), the Jiangsu Province Major Technology Support Program (BE2012849), the Jiangsu Province IOT Application Demonstration Project (SJ212025), and the SRF for ROCS, SEM (NJ209002), the Jiangsu Province Scientific and Technological Innovation Projects (CXLX12_0481).

Cited

37

Abstract:

Side information has a significant influence on the rate-distortion (RD) performance of distributed video coding (DVC). In the conventional motion compensated frame interpolation scheme, all blocks adopt the same side-information generation method regardless of the motion intensity inequality at different regions. In this paper, an improved method is proposed. The image blocks are classified into two modes, fast motion and slow motion, by simply computing the discrete cosine transformation (DCT) coefficients at the encoder. On the decoder, it chooses the direct interpolation and refined motion compensated interpolation correspondingly to generate side information. Experimental results show that the proposed method, without increasing the encoder complexity, can increase the average peak signal-to-noise ratio (PSNR) by up to 1~ 2 dB compared with the existing algorithm. Meanwhile, the proposed algorithm significantly improves the subjective quality of the side information．

Key words:

DVC, side information, motion estimation, motion compensation

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