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      A database model for querying visual surveillance videos by integrating semantic and low-level features

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      Author
      Şaykol, Ediz
      Güdükbay, Uğur
      Ulusoy, Özgür
      Date
      2005
      Source Title
      Advances in Multimedia Information Systems
      Print ISSN
      1611-3349
      Publisher
      Springer, Berlin, Heidelberg
      Volume
      3665
      Pages
      163 - 176
      Language
      English
      Type
      Conference Paper
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      Abstract
      Automated visual surveillance has emerged as a trendy application domain in recent years. Many approaches have been developed on video processing and understanding. Content-based access to surveillance video has become a challenging research area. The results of a considerable amount of work dealing with automated access to visual surveillance have appeared in the literature. However, the event models and the content-based querying and retrieval components have significant gaps remaining unfilled. To narrow these gaps, we propose a database model for querying surveillance videos by integrating semantic and low-level features. In this paper, the initial design of the database model, the query types, and the specifications of its query language are presented. © Springer-Verlag Berlin Heidelberg 2005.
      Keywords
      Information retrieval
      Information technology
      Mathematical models
      Query languages
      Semantics
      Visual communication
      Content-based querying
      Database model
      Surveillance video
      Visual surveillance
      Database systems
      Permalink
      http://hdl.handle.net/11693/27309
      Published Version (Please cite this version)
      https://doi.org/10.1007/11551898_15
      https://doi.org/10.1007/11551898
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      • Department of Computer Engineering 1368
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