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Local Color Analysis for Scene Break Detection Applied to TV Commercials Recognition

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Visual Information and Information Systems (VISUAL 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1614))

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Abstract

TV commercials recognition is a need for advertisers in order to check the fulfillment of their contracts with TV stations. In this paper we present an approach to this problem based on compacting a representative frame of each shot by a PCA of its color histogram. We also present a new algorithm for scene break detection based on the analysis of local color variations in consecutive frames of some specific regions of the image.

This work was supported by the projects TAP97-0463 and TAP-0631 of Spanish Industry Ministry.

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Author information

Authors and Affiliations

  1. Computer Vision Center, Departament d’Informàtica, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain

    Juan María Sánchez, Xavier Binefa, Jordi Vitrià & Petia Radeva

Authors
  1. Juan María Sánchez
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  2. Xavier Binefa
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  3. Jordi Vitrià
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  4. Petia Radeva
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Editor information

Editors and Affiliations

  1. Computer Science Department, Leiden University, Niels Bohrweg 1, 2333 CA, Leiden, The Netherlands

    Dionysius P. Huijsmans

  2. Research Institute Computer Science, University of Amsterdam, Kruislaan 403, 1098 SJ, Amsterdam, The Netherlands

    Arnold W. M. Smeulders

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© 1999 Springer-Verlag Berlin Heidelberg

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Sánchez, J.M., Binefa, X., Vitrià, J., Radeva, P. (1999). Local Color Analysis for Scene Break Detection Applied to TV Commercials Recognition. In: Huijsmans, D.P., Smeulders, A.W.M. (eds) Visual Information and Information Systems. VISUAL 1999. Lecture Notes in Computer Science, vol 1614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48762-X_30

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  • DOI: https://doi.org/10.1007/3-540-48762-X_30

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66079-8

  • Online ISBN: 978-3-540-48762-3

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