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Video Segmentation Using New Combined Measure  

최재각 (동의대학교 컴퓨터공학과)
이시웅 (한밭대학교 정보통신ㆍ컴퓨터공학부)
남재열 (계명대학교 컴퓨터공학과)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.40, no.1, 2003 , pp. 51-62 More about this Journal
Abstract
A new video segmentation algorithm for segmentation-based video coding is proposed. The method uses a new criterion based on similarities in both motion and brightness. Brightness and motion information are incorporated in a single segmentation procedure. The actual segmentation is accomplished using a region-growing technique based on the watershed algorithm. In addition, a tracking technique is used in subsequent frames to achieve a coherent segmentation through time. Simulation results show that the proposed method is effective in determining object boundaries not easily found using the statistic criterion alone.
Keywords
morphological segmentation; motion estimation; object-based video coding; object tracking;
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