Violence Content Classification Using Audio Features

  • Theodoros Giannakopoulos
  • Dimitrios Kosmopoulos
  • Andreas Aristidou
  • Sergios Theodoridis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3955)

Abstract

This work studies the problem of violence detection in audio data, which can be used for automated content rating. We employ some popular frame-level audio features both from the time and frequency domain. Afterwards, several statistics of the calculated feature sequences are fed as input to a Support Vector Machine classifier, which decides about the segment content with respect to violence. The presented experimental results verify the validity of the approach and exhibit a better performance than the other known approaches.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Theodoros Giannakopoulos
    • 1
  • Dimitrios Kosmopoulos
    • 2
  • Andreas Aristidou
    • 1
  • Sergios Theodoridis
    • 1
  1. 1.Department of Informatics and TelecommunicationsNational and Kapodistrian University of AthensIlissia AthensGreece
  2. 2.Institute of Informatics and TelecommunicationsNational Center for Scientific Research "Demokritos"AthensGreece

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