Accommodating hybrid retrieval in a comprehensive video database management system
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 146-149 |
Journal / Publication | IEEE Transactions on Multimedia |
Volume | 4 |
Issue number | 2 |
Publication status | Published - Jun 2002 |
Link(s)
Abstract
A comprehensive video retrieval system should be able to accommodate and utilize various (complementary) description data in facilitating effective retrieval. In this paper, we advocate a hybrid retrieval approach by integrating a query-based (database) mechanism with content-based retrieval (CBR) functions. We describe the VideoMAP + architecture, discuss issues related to developing such a comprehensive video database management system, and its specific language mechanism (CAROL/ST with CBR) which provides an improved expressive power than what pure query-based or CBR methods currently offer. We also describe an experimental prototype being developed based on a commercial object-oriented toolkit using VC++ and Java.
Research Area(s)
- Content-based image retrieval, Hybrid retrieval, Semantic retrieval, Video database
Citation Format(s)
Accommodating hybrid retrieval in a comprehensive video database management system. / Chan, Shermann S. M.; Li, Qing; Wu, Yi et al.
In: IEEE Transactions on Multimedia, Vol. 4, No. 2, 06.2002, p. 146-149.
In: IEEE Transactions on Multimedia, Vol. 4, No. 2, 06.2002, p. 146-149.
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review