Content-based Video Retrieval by Integrating Spatio-Temporal and Stochastic Recognition of Events

M. Petkovic, Willem Jonker

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

38 Citations (Scopus)
164 Downloads (Pure)

Abstract

As amounts of publicly available video data grow the need to query this data efficiently becomes significant. Consequently content-based retrieval of video data turns out to be a challenging and important problem. We address the specific aspect of inferring semantics automatically from raw video data. In particular, we introduce a new video data model that supports the integrated use of two different approaches for mapping low-level features to high-level concepts. Firstly, the model is extended with a rule-based approach that supports spatio-temporal formalization of high-level concepts, and then with a stochastic approach. Furthermore, results on real tennis video data are presented, demonstrating the validity of both approaches, as well us advantages of their integrated use
Original languageUndefined
Title of host publicationProceedings IEEE Workshop on Detection and Recognition of Events in Video
Place of PublicationVancouver, Canada
PublisherIEEE
Pages82-
Number of pages75
ISBN (Print)0-7695-1293-3
DOIs
Publication statusPublished - 2001
EventIEEE Workshop on Detection and Recognition of Events in Video, EVENT 2001 - Vancouver, Canada, Vancouver, Canada
Duration: 8 Jul 20018 Jul 2001

Publication series

Name
PublisherIEEE

Conference

ConferenceIEEE Workshop on Detection and Recognition of Events in Video, EVENT 2001
Abbreviated titleEVENT 2001
CountryCanada
CityVancouver
Period8/07/018/07/01
Other8 July 2001

Keywords

  • METIS-202294
  • IR-36548

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