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A Hybrid Approach to Video Retrieval in a Generic Video Management and Application Processing Framework
Tokyo, Japan August 22-August 25
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICME.2001.12377382001 IEEE International Conference on ...
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Shermann S.M. Chan, Qing Li, Yi Wu, Yueting Zhuang, "A Hybrid Approach to Video Retrieval in a Generic Video Management and Application Processing Framework," Multimedia and Expo, IEEE International Conference on, pp. 99, 2001 IEEE International Conference on Multimedia and Expo (ICME'01), 2001.
 
 
BibTex
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@article{ 10.1109/ICME.2001.1237738,
author = {Shermann S.M. Chan and Qing Li and Yi Wu and Yueting Zhuang},
title = {A Hybrid Approach to Video Retrieval in a Generic Video Management and Application Processing Framework},
journal ={Multimedia and Expo, IEEE International Conference on},
volume = {0},
year = {2001},
isbn = {0-7695-1198-8},
pages = {99},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICME.2001.1237738},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Multimedia and Expo, IEEE International Conference on
TI - A Hybrid Approach to Video Retrieval in a Generic Video Management and Application Processing Framework
SN - 0-7695-1198-8
SP
EP
A1 - Shermann S.M. Chan,
A1 - Qing Li,
A1 - Yi Wu,
A1 - Yueting Zhuang,
PY - 2001
KW - null
VL - 0
JA - Multimedia and Expo, IEEE International Conference on
ER -
 
Shermann S.M. Chan, City University of Hong Kong, China
Qing Li, City University of Hong Kong, China
Yi Wu, Department of Computer Science
Yueting Zhuang, Department of Computer Science
Videos are multi-faceted objects which can have different kinds of information descriptions. A comprehensive video retrieval system should be able to accommodate and utilize such various (complementary) description data in facilitating effective retrieval. In this paper, we present a hybrid approach by integrating a query-based (database) mechanism with content-based retrieval (CBR) functions. We describe the VideoMAP+ architecture 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. An experimental prototype is being developed using a commercial object-oriented toolkit on a PC platform.
Citation:
Shermann S.M. Chan, Qing Li, Yi Wu, Yueting Zhuang, "A Hybrid Approach to Video Retrieval in a Generic Video Management and Application Processing Framework," icme, pp.99, 2001 IEEE International Conference on Multimedia and Expo (ICME'01), 2001
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