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Memorias de investigación
Communications at congresses:
Semantic Segmentation of Radio Programs Using Social Network Analysis and Duration Distribution Modeling
Year:2007
Research Areas
  • Artificial intelligence,
  • Electronics engineering
Information
Abstract
This work presents and compare two approaches for the semantic segmentation of broadcast news: the first is based on Social Network Analysis, the second is based on Poisson Stochastic Processes. The experiments are performed over 27 hours of material: preliminary results are obtained by addressing the problem of splitting different episodes of the same program into two parts corresponding to a news bulletin and a talk-show respectively. The results show that the transition point between the two parts can be detected with an average error of around three minutes, i.e. roughly 5 percent of each episode duration.
International
Si
Congress
ICME 2007 International Conference on Multimedia & Expo.
960
Place
Beijing, China
Reviewers
Si
ISBN/ISSN
1-4244-1017-7
Start Date
02/07/2007
End Date
05/07/2007
From page
To page
Participants
  • Autor: S. Favre (IDIAP Research Institute - CP592, 1920 Martigny (Switzerland) - Ecole Polytechnique Federale de Lausanne (EPFL) - 1015 Lausanne (Switzerland))
  • Autor: Fernando Fernandez Martinez (UPM)
  • Autor: A. Vinciarelli (IDIAP Research Institute - CP592, 1920 Martigny (Switzerland) - Ecole Polytechnique Federale de Lausanne (EPFL) - 1015 Lausanne (Switzerland))
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de tecnología del habla
  • Departamento: Ingeniería Electrónica
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