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Semantic Reasoning based Video Database Systems

  • Duc A. Tran
  • Kien A. Hua
  • Khanh Vu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1873)

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.

Keywords

Free Variable Atomic Formula Semantic Description Video Object Video Retrieval 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Duc A. Tran
    • 1
  • Kien A. Hua
    • 1
  • Khanh Vu
    • 1
  1. 1.School of Electrical Engineering and Computer ScienceUniversity of Central FloridaOrlandoUSA

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