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Video Object Segmentation by 2-D Mesh-Based Motion Analysis According to Motion Connectivity

Video object extraction is a key technology in the content-based video coding. A new temporal-spatial video object segmentation algorithm is proposed in this paper. This algorithm is based on 2-D mesh-based motion analysis according to motion connectivity. Firstly, a 2-D adaptive mesh fitting the original frame image is obtained via feature detection algorithm. Then, higher order statistics motion analysis according to motion connectivity is applied on the 2-D mesh representation to get a coarse motion boundary layer. After refining the coarse boundary layer and post-processing the labeled maximal connected region, the final segmenting mask is quickly obtained. Hence the video object is effectively extracted. Experimental results show that the proposed algorithm combines the merits of the mesh-based segmentation algorithms and the pixel-based segmentation algorithms, and therefore achieves satisfactory subjective and objective performance as well as dramatically increasing the segmenting speed.