Stereo Video Object Segmentation Based on Compressed Domain Information
基于压缩域信息的立体视频对象分割方法

Stereo video object segmentation is a key technology in the multi-view 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.