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      A rule-based video database system architecture

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      Author(s)
      Dönderler, M. E.
      Ulusoy, Özgür
      Güdükbay, Uğur
      Date
      2002
      Source Title
      Information Sciences
      Print ISSN
      0020-0255
       
      1872-6291
       
      Publisher
      Elsevier
      Volume
      143
      Issue
      1-4
      Pages
      13 - 45
      Language
      English
      Type
      Article
      Item Usage Stats
      200
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      189
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      Abstract
      We propose a novel architecture for a video database system incorporating both spatio-temporal and semantic (keyword, event/activity and category-based) query facilities. The originality of our approach stems from the fact that we intend to provide full support for spatio-temporal, relative object-motion and similarity-based object-trajectory queries by a rule-based system utilizing a knowledge-base while using an object-relational database to answer semantic-based queries. Our method of extracting and modeling spatio-temporal relations is also a unique one such that we segment video clips into shots using spatial relationships between objects in video frames rather than applying a traditional scene detection algorithm. The technique we use is simple, yet novel and powerful in terms of effectiveness and user query satisfaction: video clips are segmented into shots whenever the current set of relations between objects changes and the video frames, where these changes occur, are chosen as keyframes. The directional, topological and third-dimension relations used for shots are those of the keyframes selected to represent the shots and this information is kept, along with frame numbers of the keyframes, in a knowledge-base as Prolog facts. The system has a comprehensive set of inference rules to reduce the number of facts stored in the knowledge-base because a considerable number of facts, which otherwise would have to be stored explicitly, can be derived by rules with some extra effort. © 2002 Elsevier Science Inc. All rights reserved.
      Keywords
      Content-Based Retrieval
      Inference Rules
      Information Systems
      Knowledge Representation
      Rule-Based Video Modeling
      Spatio-Temporal Relations
      Video Databases
      Algorithms
      Computer Architecture
      Data Structures
      Knowledge Based Systems
      Semantics
      Set Theory
      Systems Analysis
      Video Database Systems
      Relational Database Systems
      Permalink
      http://hdl.handle.net/11693/24705
      Published Version (Please cite this version)
      http://dx.doi.org/10.1016/S0020-0255(02)00172-X
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      • Department of Computer Engineering 1510
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