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Initial Object Segmentation for Video Object Plane Generation Using Cellular Neural Networks
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作者 王慧 杨高波 张兆扬 《Journal of Shanghai University(English Edition)》 CAS 2003年第2期168-172,共5页
MPEG 4 is a basic tool for interactivity and manipulation of video sequences. Video object segmentation is a key issue in defining the content of any video sequence, which is often divided into two steps: initial obj... MPEG 4 is a basic tool for interactivity and manipulation of video sequences. Video object segmentation is a key issue in defining the content of any video sequence, which is often divided into two steps: initial object segmentation and object tracking. In this paper, an initial object segmentation method for video object plane(VOP) generation using color information is proposed. Based on 3 by 3 linear templates, a cellular neural network (CNN) is used to implemented object segmentation. The Experimental results are presented to verify the efficiency and robustness of this approach. 展开更多
关键词 video object plane(VOP) cellular neural networks(CNN) templates.
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