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In this paper, we present a perception principlesguided video segmentation method, where statistical modeling and graph-theoretic approaches are combined in a multi-layer classification architecture. Various visual cues are effectively incorporated in a sequential segmentation process. Specifically, low-level pixel-wise features are used in the first layer where a joint spatio-temproal statistical modeling approach is used to construct entry-level visual units in space-time. In the seconddoi:10.1109/mmsp.2005.248664 dblp:conf/mmsp/ChenF05 fatcat:yg5643wc2fhavkegcnqz7lrw4q