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To achieve more efficient video indexing and access, we introduce a video content structure and event mining framework. A video shot segmentation and key-frame selection strategy are first utilized to parse the continuous video stream into physical units. Video shot grouping, group merging, and scene clustering schemes are then proposed to organize the video shots into a hierarchical structure using clustered scenes, scenes, groups, and shots, in increasing granularity from top to bottom. Then,dblp:conf/dmkd/ZhuFAE02 fatcat:sayluw5d3ze27mtvn6rbwvgfjq