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Violence Content Classification Using Audio Features

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Advances in Artificial Intelligence (SETN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3955))

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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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References

  1. Vasconcelos, N., Lippman, A.: Towards semantically meaningful feature spaces for the characterization of video content. In: Proc. International Conference on Image Processing, October 1997, vol. 1, pp. 25–28 (1997)

    Google Scholar 

  2. Datta, A., Shah, M., Lobo, N.V.: Person-on-Person Violence Detection in Video Data. In: IEEE International Conference on Pattern Recognition, Canada (2002)

    Google Scholar 

  3. Nam, J., Tewfik, A.H.: Event-driven video abstraction and visualisation. Multimedia Tools and Applications 16(1-2), 55–77 (2002)

    Article  MATH  Google Scholar 

  4. Theodoridis, S., Koutroumbas, K.: Pattern Recognition, 3rd edn. Academic Press, London (2005)

    MATH  Google Scholar 

  5. Cristianini, N., Shawe-Taylor, J.: Support Vector Machines and other kernel-based learning methods. Cambridge University Press, Cambridge (2000); ISBN 0-521-78019-5

    Google Scholar 

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Authors and Affiliations

  1. Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Panepistimiopolis, Ilissia Athens, 15784, Greece

    Theodoros Giannakopoulos, Andreas Aristidou & Sergios Theodoridis

  2. Institute of Informatics and Telecommunications, National Center for Scientific Research "Demokritos", Agia Paraskevi, Athens, 15310, Greece

    Dimitrios Kosmopoulos

Authors
  1. Theodoros Giannakopoulos
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  2. Dimitrios Kosmopoulos
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  3. Andreas Aristidou
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  4. Sergios Theodoridis
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Editor information

Editors and Affiliations

  1. Computer Science Department of University of Crete, Greece

    Grigoris Antoniou

  2. Institute of Computer Science, Foundation for Research & Technology – Hellas (FORTH), Vassilika Vouton, P.O. Box 1385, 71110, Heraklion, Greece

    George Potamias

  3. Institute of Informatics and Telecommunications, NCSR "Demokritos", 15310 A., Paraskevi Attikis, Greece

    Costas Spyropoulos

  4. Institute of Computer Science, FO.R.T.H., Vassilika Vouton, P.O. Box 1385, GR 71110, Heraklion, Greece

    Dimitris Plexousakis

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© 2006 Springer-Verlag Berlin Heidelberg

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Giannakopoulos, T., Kosmopoulos, D., Aristidou, A., Theodoridis, S. (2006). Violence Content Classification Using Audio Features. In: Antoniou, G., Potamias, G., Spyropoulos, C., Plexousakis, D. (eds) Advances in Artificial Intelligence. SETN 2006. Lecture Notes in Computer Science(), vol 3955. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11752912_55

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  • DOI: https://doi.org/10.1007/11752912_55

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34117-8

  • Online ISBN: 978-3-540-34118-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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