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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.