Accommodating hybrid retrieval in a comprehensive video database management system

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

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

15 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)146-149
JournalIEEE Transactions on Multimedia
Volume4
Issue number2
DOIs
Publication statusPublished - Jun 2002

Research Keywords

  • Content-based image retrieval
  • Hybrid retrieval
  • Semantic retrieval
  • Video database

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