Name
Abstract | ||
|---|---|---|
The increasing use of multimedia streams nowadaysnecessitates the development of efficient and effectivemethodologies for manipulating databases storing them.Moreover, content-based access to multimedia databasesrequires in its retrieval stage to effectively assess thesimilarity of video data. This work proposes a newtechnique for measuring video data similarity thatattempts to model some of the factors that reflect humannotion in evaluating video data similarity. This modelpresents one step towards designing intelligent content-basedvideo retrieval systems capable of measuring thesimilarity among video clips in a way similar to whathumans do. The performance of the proposed model wastested in terms of recall and precision of the retrievedresults where the system yielded very satisfactory values ofrecall and precision under various testing scenarios. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ISCC.2003.1214211 | ISCC |
Keywords | Field | DocType |
content-based access,video clip,retrieval stage,video data,human-based technique,multimedia stream,intelligent content-basedvideo retrieval system,video data similarity,multimedia databasesrequires,video data similarity thatattempts,measuring video data similarity,information retrieval | Information retrieval,Video retrieval,Computer science,Precision and recall,Multimedia streams,Multimedia,CLIPS | Conference |
ISSN | ISBN | Citations |
1530-1346 | 0-7695-1961-X | 1 |
PageRank | References | Authors |
0.37 | 18 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Waleed E. Farag | 1 | 8 | 1.97 |
| Hussein Abdel-Wahab | 2 | 200 | 24.32 |
| Abdel-Wahab, H. | 3 | 40 | 7.24 |