A Joint Motion and Disparity based Estimation Technique with Half Pixel Refinement for 3D Integral Video Compression

In this paper we propose a novel approach to use both motion and disparity information to compress 3D integral video sequences. The integral video sequence is decomposed into 8 viewpoint video sequences and a block search is performed to jointly exploit the motion and disparity redundancies to maximize the compression. A half pixel refinement algorithm is then applied by interpolating macro blocks in the previous frame to further improve the video quality. Experimental results show that the method proposed achieves approximately a 1.5 dB gain in video quality over a full search motion algorithm.