Title :
Accommodating hybrid retrieval in a comprehensive video database management system
Author :
Chan, Shermann S M ; Li, Qing ; Wu, Yi ; Zhuang, Yueting
Author_Institution :
Dept. of Comput. Sci., City Univ. of Hong Kong, Kowloon, China
fDate :
6/1/2002 12:00:00 AM
Abstract :
A comprehensive video retrieval system should be able to accommodate and utilize various (complementary) description data in facilitating effective retrieval. 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 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.
Keywords :
content-based retrieval; image retrieval; object-oriented methods; video databases; CAROL/ST; Java; VC; VideoMAP+ architecture; comprehensive video database management system; comprehensive video retrieval system; content-based retrieval; description data; hybrid retrieval; image retrieval; language mechanism; object-oriented toolkit; query-based mechanism; semantic retrieval; Computer science; Content based retrieval; Database systems; Image retrieval; Information retrieval; Layout; Multimedia databases; Multimedia systems; Prototypes; Streaming media;
Journal_Title :
Multimedia, IEEE Transactions on
DOI :
10.1109/TMM.2002.1017730
