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Semantic reasoning based video database systems

  • University of Central Florida

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A constraint of existing content-based video data models is that each modeled semantic description must be associated with time intervals exactly within which it happens and semantics not related to any time interval are not considered. Consequently, users are provided with limited query capabilities. This paper is aimed at developing a novel model with two innovations: (1) Semantic contents not having related time information can be modeled as ones that do; (2) Not only the temporal feature of semantic descriptions, but also the temporal relationships among themselves are components of the model. The query system is by means of reasoning on those relationships. To support users5 access, a video algebra and a video calculus as formal query languages, which are based on semantic relationship reasoning, are also presented.

Original languageEnglish
Title of host publicationDatabase and Expert Systems Applications - 11th International Conference, DEXA 2000, Proceedings
EditorsMohamed Ibrahim, Josef Kung, Norman Revell
PublisherSpringer Verlag
Pages41-50
Number of pages10
ISBN (Print)9783540679783
DOIs
StatePublished - 2000
Event11th International Conference on Database and Expert Systems Applications, DEXA 2000 - London, United Kingdom
Duration: Sep 4 2000Sep 8 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1873
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Database and Expert Systems Applications, DEXA 2000
Country/TerritoryUnited Kingdom
CityLondon
Period9/4/009/8/00

ASJC Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

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