Spatio-temporal querying in video databases

  • Authors:
  • Mesru Koprulu;Nihan Kesim Cicekli;Adnan Yazici

  • Affiliations:
  • Department of Computer Engineering, Middle East Technical University, Ankara 06531, Turkey;Department of Computer Engineering, Middle East Technical University, Ankara 06531, Turkey and Department of Computer Science, University of Central Florida, Orlando, FL;Department of Computer Engineering, Middle East Technical University, Ankara 06531, Turkey

  • Venue:
  • Information Sciences—Informatics and Computer Science: An International Journal
  • Year:
  • 2004

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Abstract

A video data model that supports spatio-temporal querying in videos is presented. The data model is focused on the semantic content of Video streams. Objects, events, activities, and spatial properties of objects are main interests of the model: The data model enables the user to query fuzzy spatio-temporal relationships between video objects and also trajectories of moving objects. A prototype of the proposed model has been implemented.