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Semantic Reasoning based Video Database Systems

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Database and Expert Systems Applications (DEXA 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1873))

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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 users’ access, a video algebra and a video calculus as formal query languages, which are based on semantic relationship reasoning, are also presented.

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Author information

Authors and Affiliations

  1. School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL, 32816, USA

    Duc A. Tran, Kien A. Hua & Khanh Vu

Authors
  1. Duc A. Tran
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  2. Kien A. Hua
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  3. Khanh Vu
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Editor information

Editors and Affiliations

  1. Department of Computing and Mathematical Sciences, Maritime Greenwich University Campus, 30 Park Row, London, SE10 9LS, UK

    Mohamed Ibrahim

  2. University of Linz, FAW, Altenbergerstr. 69, 4040, Linz, Austria

    Josef Küng

  3. Middlesex University, Bounds Green, London, UK

    Norman Revell

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© 2000 Springer-Verlag Berlin Heidelberg

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Tran, D.A., Hua, K.A., Vu, K. (2000). Semantic Reasoning based Video Database Systems. In: Ibrahim, M., Küng, J., Revell, N. (eds) Database and Expert Systems Applications. DEXA 2000. Lecture Notes in Computer Science, vol 1873. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44469-6_5

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  • DOI: https://doi.org/10.1007/3-540-44469-6_5

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67978-3

  • Online ISBN: 978-3-540-44469-5

  • eBook Packages: Springer Book Archive

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