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Descripción
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| 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. | |
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Internacional
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Si |
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Nombre congreso
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ICME 2007 International Conference on Multimedia & Expo. |
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Tipo de participación
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960 |
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Lugar del congreso
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Beijing, China |
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Revisores
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Si |
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ISBN o ISSN
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1-4244-1017-7 |
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DOI
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Fecha inicio congreso
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02/07/2007 |
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Fecha fin congreso
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05/07/2007 |
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Título de las actas
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