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Multi-View Wyner-Ziv Video Coding Based on Spatio-temporal Adaptive Estimation
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 Title & Authors
Multi-View Wyner-Ziv Video Coding Based on Spatio-temporal Adaptive Estimation
Lee, Beom-yong; Kim, Jin-soo;
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 Abstract
This paper proposes a multi-view Wyner-Ziv Video coding scheme based on spatio-temporal adaptive estimation. The proposed algorithm is designed to search for a better estimated block with joint bi-directional motion estimation by introducing weights between temporal and spatial directions, and by classifying effectively the region of interest blocks, which is based on the edge detection and the synthesis, and by selecting the reference estimation block from the effective motion vector analysis. The proposed algorithm exploits the information of a single frame viewpoint and adjacent frame viewpoints, simultaneously and then generates adaptively side information in a variety of closure, and reflection regions to have a better performance. Through several simulations with multi-view video sequences, it is shown that the proposed algorithm performs visual quality improvement as well as bit-rate reduction, compared to the conventional methods.
 Keywords
Multi-View Wyner-Ziv Video Coding;Joint Bi-directional Motion Estimation;ROI;
 Language
Korean
 Cited by
 References
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