Multiview video coding based on global motion model
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
3DAV exploration of video-based rendering technology in MPEG
IEEE Transactions on Circuits and Systems for Video Technology
Inter-View Direct Mode for Multiview Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
Efficient Prediction Structures for Multiview Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
View Scalable Multiview Video Coding Using 3-D Warping With Depth Map
IEEE Transactions on Circuits and Systems for Video Technology
Adaptive Local Illumination Change Compensation Method for H.264/AVC-Based Multiview Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
New Coding Tools for Illumination and Focus Mismatch Compensation in Multiview Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
Depth-based direct mode for multiview video coding
Image Communication
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As motion of neighboring views is highly correlated in multiview video systems, the inter-view motion skip mode has been proposed to improve the efficiency of multiview video coding (MVC) by reusing the motion information of neighboring views. To fully exploit the inter-view motion correlation, a finegranular motion matching algorithm for the motion skip mode is presented in this paper. The proposed algorithm searches for the best matching motion information in neighboring views with fine granularity, and then uses the motion information for the motion-compensated coding in the motion skip mode. The rate-distortion optimization criterion is applied to find the best matching motion information. Experimental results show that the proposed algorithm can improve the performance of the motion skip mode, and further improve the efficiency of MVC.