Exploring video structure beyond the shots
While existing shot-based video analysis approaches provide users with better access to the video than the raw data stream does, they are still not sufficient for meaningful video browsing and retrieval, since: (1) the shots in a long video are still too many to be presented to the user; and (2) shots do not capture the underlying semantic structure of the video, based on which the user may wish to browse/retrieve the video. To explore video structure at the semantic level this paper presents an effective approach for video scene structure construction, in which shots are grouped into semantic-related scenes. The output of the proposed algorithm provides a structured video that greatly facilitates user's access. Experiments based on real-world movie videos validate the effectiveness of the proposed approach.