Accommodating hybrid retrieval in a comprehensive video database management system

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

15 Scopus Citations
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Author(s)

  • Shermann S. M. Chan
  • Qing Li
  • Yi Wu
  • Yueting Zhuang

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)146-149
Journal / PublicationIEEE Transactions on Multimedia
Volume4
Issue number2
Publication statusPublished - Jun 2002

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; Zhuang, Yueting.

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 journalpeer-review