Advertisement

Methods for Classifying Videos by Subject and Detecting Narrative Peak Points

  • Tudor-Alexandru Dobrilă
  • Mihail-Ciprian Diaconaşu
  • Irina-Diana Lungu
  • Adrian Iftene
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6242)

Abstract

2009 marked UAIC’s first participation at the VideoCLEF evaluation campaign. Our group built two separate systems for the “Subject Classification” and “Affect Detection” tasks. For the first task we created two resources starting from Wikipedia pages and pages identified with Google and used two tools for classification: Lucene and Weka. For the second task we extracted the audio component from a given video file, using FFmpeg. After that, we computed the average amplitude for each word from the transcript, by applying the Fast Fourier Transform algorithm in order to analyze the sound. A brief description of our systems’ components is given in this paper.

Keywords

Mean Average Precision Current Group Video File Previous Group Fast Fourier Transform Algorithm 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Hatcher, E., Gospodnetic, O.: Lucene in action. Manning Publications Co. (2005)Google Scholar
  2. 2.
    Witten, I.H., Frank, E.: Data Mining: Practical machine learning tools and techniques, 2nd edn. Morgan Kaufmann, San Francisco (2005) Retrieved 2007-06-25zbMATHGoogle Scholar
  3. 3.
    Larson, M., Newman, E., Jones, G.J.F.: Overview of VideoCLEF 2009: New Perspectives on Speech-based Multimedia Content Enrichment. In: Peters, C., Gonzalo, J., Jones, G.J.F., Muller, H., Tsikrika, T., Kalpathy-Kramer, J. (eds.) CLEF 2009 Workshop, Part II. LNCS, vol. 6242, pp. 354–368. Springer, Heidelberg (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Tudor-Alexandru Dobrilă
    • 1
  • Mihail-Ciprian Diaconaşu
    • 1
  • Irina-Diana Lungu
    • 1
  • Adrian Iftene
    • 1
  1. 1.UAIC: Faculty of Computer Science“Alexandru Ioan Cuza” UniversityRomania

Personalised recommendations