BilVideo: Design and Implementation of a Video Database Management System

  • Authors:

  • Mehmet Emin Dönderler;Ediz Şaykol;Umut Arslan;Özgür Ulusoy;Uğur Güdükbay

  • Affiliations:

  • Department of Computer Engineering, Bilkent University, Ankara, Turkey;Department of Computer Engineering, Bilkent University, Ankara, Turkey;Department of Computer Engineering, Bilkent University, Ankara, Turkey;Department of Computer Engineering, Bilkent University, Ankara, Turkey;Department of Computer Engineering, Bilkent University, Ankara, Turkey

  • Venue:
  • Multimedia Tools and Applications
  • Year:
  • 2005

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Abstract

With the advances in information technology, the amount of multimedia data captured, produced, and stored is increasing rapidly. As a consequence, multimedia content is widely used for many applications in today's world, and hence, a need for organizing this data, and accessing it from repositories with vast amount of information has been a driving stimulus both commercially and academically. In compliance with this inevitable trend, first image and especially later video database management systems have attracted a great deal of attention, since traditional database systems are designed to deal with alphanumeric information only, thereby not being suitable for multimedia data.In this paper, a prototype video database management system, which we call BilVideo, is introduced. The system architecture of BilVideo is original in that it provides full support for spatio-temporal queries that contain any combination of spatial, temporal, object-appearance, external-predicate, trajectory-projection, and similarity-based object-trajectory conditions by a rule-based system built on a knowledge-base, while utilizing an object-relational database to respond to semantic (keyword, event/activity, and category-based), color, shape, and texture queries. The parts of BilVideo (Fact-Extractor, Video-Annotator, its Web-based visual query interface, and its SQL-like textual query language) are presented, as well. Moreover, our query processing strategy is also briefly explained.