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http://dx.doi.org/10.3745/JIPS.2011.7.1.103

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

Guo, Jun (Dept. of Electrical and Computer Engineering, Illinois Institute of Technology)
Kim, Joo-Hee (Dept. of Electrical and Computer Engineering, Illinois Institute of Technology)
Publication Information
Journal of Information Processing Systems / v.7, no.1, 2011 , pp. 103-110 More about this Journal
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.
Keywords
Distributed Video Coding; Wyner-Ziv Coding; Spatial Motion Vector Smoothing; Weighted Vector Median Filter; Side Information;
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