High-quality video view interpolation using a layered representation
ACM SIGGRAPH 2004 Papers
View synthesis prediction for multiview video coding
Image Communication
Depth MAP distortion analysis for view rendering and depth coding
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Multiview Video Coding Using View Interpolation and Color Correction
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
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In the applications of Free View TV, pre-estimated depth information is available to synthesize the intermediate views as well as to assist multi-view video coding. Existing view synthesis prediction schemes generate virtual view picture only from interview pictures. However, there are many types of signal mismatches caused by depth errors, camera heterogeneity or illumination difference across views and these mismatches decrease the prediction capability of virtual view picture. In this paper, we propose an adaptive learning based view synthesis prediction algorithm to enhance the prediction capability of virtual view picture. This algorithm integrates least square prediction with backward warping to synthesize the virtual view picture, which not only utilizes the adjacent views information but also the temporal decoded information to adaptively learn the prediction coefficients. Experiments show that the proposed method reduces the bitrates by up to 18聽% relative to the multi-view video coding standard, and about 11聽% relative to the conventional view synthesis prediction method.