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Communication Dans Un Congrès Année : 2015

Exploring the complementarity of audio-visual structural regularities for the classification of videos into TV-program collections

Résumé

This article proposes to analyze the structural regularities from the audio and video streams of TV-programs and explore their potential for the classification of videos into program collections. Our approach is based on the spectral analysis of distance matrices representing the short-and long-term dependancies within the audio and visual modalities of a video. We propose to compare two videos by their respective spectral features. We appreciate the benefits brought by the two modalities on the performances in the context of a K-nearest neighbor classification, and we test our approach in the context of an unsupervised clustering algorithm. These evaluations are performed on two datasets of French and Italian TV programs.
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Dates et versions

hal-01256229 , version 1 (14-01-2016)

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Gabriel Sargent, Pierre Hanna, Henri Nicolas, Frédéric Bimbot. Exploring the complementarity of audio-visual structural regularities for the classification of videos into TV-program collections. ISM - IEEE International Symposium on Multimedia, Dec 2015, Miami, United States. ⟨10.1109/ISM.2015.133⟩. ⟨hal-01256229⟩
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