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Communication Dans Un Congrès Année : 2008

Unsupervised TV Program Boundaries Detection Based on Audiovisual Features

Résumé

We evaluate in this paper how the hypothesis that basic video and audio features present homogeneous values during programs can be exploited by a GLR-BIC segmentation algorithm to identify programs in days of television contents. The homogeneity criterion is evaluated by the ability to describe this feature values with a Gaussian law. On the base of results obtained from rough audio and video features, this paper evaluates the improvement obtained by an early fusion of these features, and by a prior usage of the existence of monochromatic frames in commercials.
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Dates et versions

hal-01434031 , version 1 (13-01-2017)

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Elie El Khoury, Christine Sénac, Philippe Joly. Unsupervised TV Program Boundaries Detection Based on Audiovisual Features. 5th International Conference on Visual Information Engineering (VIE 2008), Jul 2008, Xian, China. pp.498-503, ⟨10.1049/cp:20080365⟩. ⟨hal-01434031⟩
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