Novel motion prediction for multi-view video coding using global disparity

In this paper, we present an efficient motion and disparity prediction method for multi-view video coding based on the high efficient video coding (HEVC) standard. The proposed method exploits inter-view candidates for effective prediction of the motion or disparity vector to be coded. The inter-view candidates include not only motion vectors of adjacent views, but also global disparities across views. We found that motion vectors coded earlier in an adjacent view are helpful in predicting the current motion vector to reduce the amount of bits used in the motion vector information. In addition, the proposed disparity prediction with global disparity method is effective for inter-view prediction. To evaluate the proposed algorithm, we implemented a multi-view version based on HEVC and the proposed correspondence prediction method is implemented on a multi-view platform based on HEVC. We found that the proposed algorithm yields a coding gain of around 2.9% in a high efficiency configuration random access mode.