Semantic segmentation of radio programs using social network analysis and duration distribution modeling

Vinciarelli, A. , Fernandez, F. and Favre, S. (2007) Semantic segmentation of radio programs using social network analysis and duration distribution modeling. In: Multimedia and Expo, 2007 IEEE International Conference on, Bejing, China, July 2-5, 2007, pp. 779-782. (doi:10.1109/ICME.2007.4284766)

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Publisher's URL: http://dx.doi.org/10.1109/ICME.2007.4284766

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.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Vinciarelli, Professor Alessandro
Authors: Vinciarelli, A., Fernandez, F., and Favre, S.
College/School:College of Science and Engineering > School of Computing Science

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