Abstract
Flash is experiencing a breathtaking growth and has become one of the prevailing media formats on the Web. Our goal is to exploit the enormous Flash resources by developing a model of content-based Flash retrieval. Towards this end, we introduce a novel approach for discovering semantic relationships among the co-occurrence patterns of elements in Flash movies. The proposed approach includes a three-layered structure to index the Flash movie, a query expansion procedure to improve the recall performance, and a relevance ranking procedure utilizing link analysis to improve the precision performance of Flash retrieval. Experiments show the potential of leveraging co-occurrence analysis of elements in the context of scenes for improving the performance of Flash retrieval.
Original language | English |
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Pages | 239-242 |
Number of pages | 4 |
Publication status | Published - 1 Dec 2003 |
Externally published | Yes |
Event | 2003 Multimedia Conference - Proceedings of the 11th ACM International Conference on Multimedia, MM'03 - Berkeley, CA., United States Duration: 4 Nov 2003 → 6 Nov 2003 |
Conference
Conference | 2003 Multimedia Conference - Proceedings of the 11th ACM International Conference on Multimedia, MM'03 |
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Country/Territory | United States |
City | Berkeley, CA. |
Period | 4/11/03 → 6/11/03 |
Keywords
- Co-occurrence analysis
- Composition matrix
- Flash retrieval
- Query expansion
- Relevance ranking
ASJC Scopus subject areas
- General Computer Science