Using an Information Retrieval System for Video Classification

  • José Manuel Perea-Ortega
  • Arturo Montejo-Ráez
  • Manuel Carlos Díaz-Galiano
  • María Teresa Martín-Valdivia
  • L. Alfonso Ureña-López
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5706)

Abstract

This paper describes a simple approach to resolve the video classification task. This approach consists in applying an Information Retrieval (IR) system as classifier. We have generated a document collection for each topic class predefined. This collection has been composed of documents retrieved using the Google search engine. Following the IR strategy, we have used the speech transcriptions of the videos as textual queries. The results obtained show that an IR system can perform well as video classifier if the speech transcriptions of the videos to classify have good quality.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • José Manuel Perea-Ortega
    • 1
  • Arturo Montejo-Ráez
    • 1
  • Manuel Carlos Díaz-Galiano
    • 1
  • María Teresa Martín-Valdivia
    • 1
  • L. Alfonso Ureña-López
    • 1
  1. 1.SINAI Research Group, Computer Science DepartmentUniversity of JaénSpain

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