Stereo video object segmentation is a key technology in the multiview video interacting. In this paper

based on the compressed domain information a novel stereo video object segmentation algorithm is proposed to improve the validity and accuracy of the segmentation. Firstly

we extract motion vectors and disparity field to segment the initial video object. Then we used the mean shift algorithm to cluster the video object. Experimental results shows that the proposed algorithm could obtain the object with semantic confornity from the scene with complex texture.