• Milan Petković
  • Willem Jonker
Part of the The Springer International Series in Engineering and Computer Science book series (MMSA, volume 25)


The goal of this book as posed in Chapter 1 is to investigate what techniques are necessary to be added to a database management system to support content-based video retrieval. The research that has been done to accomplish this goal is positioned at the crossroads among many fields that include among others databases, information retrieval, computer vision, image processing, and pattern recognition. All these research communities have identified the problem of bridging the semantic gap as the major problem in content-based video retrieval. In this book, we have demonstrated that the semantic gap can be closed in restricted domains by the integrated use of the spatio-tempoal approach, HMMs, and DBNs. Another major contribution of the work presented in the book is the integration of these technologies within the DBMS, which allows the system to be used in multiple domains with minimal adjustments and provides a user with dynamic feature and semantics extraction.


Hide Markov Model Bayesian Network Video Content Relevance Feedback Video Processing 
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 Science+Business Media New York 2004

Authors and Affiliations

  • Milan Petković
    • 1
  • Willem Jonker
    • 2
  1. 1.University of TwenteThe Netherlands
  2. 2.University of Twente and Philips ResearchThe Netherlands

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