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Content-Based Retrieval in Multimedia Databases Based on Feature Models

  • Peter Apers
  • Martin Kersten
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1554)

Abstract

With the increasing popularity of WWW, the main challenge in computer science has become content-based retrieval of multimedia objects. Until now access of multimedia objects in databases was done by means of keywords. Now, with the integration of feature-detection algorithms in database systems software, content-based retrieval can be fully integrated with query processing. In this invited paper, we describe our experimentation platform under development that fully integrates traditional query processing and content-based retrieval and that is based on feature databases, making database technology available to multimedia.

Keywords

Query Processing Relevance Feedback Parse Tree Evidential Reasoning Bayesian Belief Network 
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 1999

Authors and Affiliations

  • Peter Apers
    • 1
  • Martin Kersten
    • 2
  1. 1.University of TwenteEnschedethe Netherlands
  2. 2.CWIAmsterdamthe Netherlands

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