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METHODES DE RESUME DE VIDEO A PARTIR D'INFORMATIONS BAS NIVEAU, DU MOUVEMENT DE CAMERA OU DE L'ATTENTION VISUELLE

Abstract : The growing volume of video leads to the need of new tools for indexing. One of the possible tools is video summary which provides a fast overview to the user. The objective of this thesis is to extract from visual information, a summary containing the “message” of video. We chose to study three new methods of video summary using different types of visual features.
The first method of summary rests on low level features (color, orientation and motion). The combination of these features which is based on a fuzzy inference system allows a hierarchical summary to be built. We show the interest of such a summary in an application of query by example.
The second method of summary is built from camera motion. This higher level feature is thought by the filmmaker and so induces information on the content. A method of camera motion classification based on Transferable Belief Model is achieved. The method of summary is elaborated according to rules about the magnitude and the chain of the identified motions.
The third method of summary is developed from visual attention. To know the places where the glance is directed during the video playback is higher level information and relevant to create the summary. A spatio-temporal attention model is proposed, and then used to detect the change of content in time in order to build the summary.
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https://tel.archives-ouvertes.fr/tel-00122787
Contributor : Mickael Guironnet <>
Submitted on : Thursday, January 4, 2007 - 8:31:42 PM
Last modification on : Friday, November 6, 2020 - 4:13:31 AM
Long-term archiving on: : Tuesday, April 6, 2010 - 8:43:25 PM

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  • HAL Id : tel-00122787, version 1

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Mickael Guironnet. METHODES DE RESUME DE VIDEO A PARTIR D'INFORMATIONS BAS NIVEAU, DU MOUVEMENT DE CAMERA OU DE L'ATTENTION VISUELLE. Traitement du signal et de l'image [eess.SP]. Université Joseph-Fourier - Grenoble I, 2006. Français. ⟨tel-00122787⟩

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