Accommodating hybrid retrieval in a comprehensive video database management system

S.S.M. Chan, Qing Li, Y. Wu, Y. Zhuang

Research output: Journal article publicationJournal articleAcademic researchpeer-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
Number of pages4
JournalIEEE Transactions on Multimedia
Volume4
Issue number2
DOIs
Publication statusPublished - 1 Jun 2002
Externally publishedYes

Keywords

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

ASJC Scopus subject areas

  • Signal Processing
  • Media Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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