Adaptive Motion Vector Smoothing for Improving Side Information in Distributed Video Coding


Jun Guo, Joohee Kim, Journal of Information Processing Systems Vol. 7, No. 1, pp. 103-110, Feb. 2011  

10.3745/JIPS.2011.7.1.103
Keywords: distributed video coding, Wyner-Ziv Coding, Spatial Motion Vector Smoothing, Weighted Vector Median Filter, Side Information
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Abstract

In this paper, an adaptive motion vector smoothing scheme based on weighted vector median filtering is proposed in order to eliminate the motion outliers more effectively for improving the quality of side information in frame-based distributed video coding. We use a simple motion vector outlier reliability measure for each block in a motion compensated interpolated frame and apply weighted vector median filtering only to the blocks with unreliable motion vectors. Simulation results show that the proposed adaptive motion vector smoothing algorithm improves the quality of the side information significantly while maintaining low complexity at the encoder in frame-based distributed video coding.


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Cite this article
[APA Style]
Jun Guo and Joohee Kim (2011). Adaptive Motion Vector Smoothing for Improving Side Information in Distributed Video Coding. Journal of Information Processing Systems, 7(1), 103-110. DOI: 10.3745/JIPS.2011.7.1.103 .

[IEEE Style]
J. Guo and J. Kim, "Adaptive Motion Vector Smoothing for Improving Side Information in Distributed Video Coding," Journal of Information Processing Systems, vol. 7, no. 1, pp. 103-110, 2011. DOI: 10.3745/JIPS.2011.7.1.103 .

[ACM Style]
Jun Guo and Joohee Kim. 2011. Adaptive Motion Vector Smoothing for Improving Side Information in Distributed Video Coding. Journal of Information Processing Systems, 7, 1, (2011), 103-110. DOI: 10.3745/JIPS.2011.7.1.103 .