Abstract
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; (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 a 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.
| Original language | English (US) |
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| Pages | 237-240 |
| Number of pages | 4 |
| State | Published - 1998 |
| Event | Proceedings of the 1998 International Conference on Multimedia Computing and Systems - Austin, TX, USA Duration: Jun 28 1998 → Jul 1 1998 |
Other
| Other | Proceedings of the 1998 International Conference on Multimedia Computing and Systems |
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| City | Austin, TX, USA |
| Period | 6/28/98 → 7/1/98 |
ASJC Scopus subject areas
- General Computer Science
- General Engineering