A hybrid approach to video retrieval in a generic video management and application processing framework

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

6 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
Title of host publicationProceedings - IEEE International Conference on Multimedia and Expo
PublisherIEEE Computer Society
Pages389-392
ISBN (print)769511988
Publication statusPublished - 2001

Publication series

Name
ISSN (Print)1945-7871
ISSN (electronic)1945-788X

Conference

Title2001 IEEE International Conference on Multimedia and Expo, ICME 2001
PlaceJapan
CityTokyo
Period22 - 25 August 2001

Abstract

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 Format(s)

A hybrid approach to video retrieval in a generic video management and application processing framework. / Chan, Shermann S.M.; Li, Qing; Wu, Yi et al.
Proceedings - IEEE International Conference on Multimedia and Expo. IEEE Computer Society, 2001. p. 389-392 1237738.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review