Audiovisual signature

Jpetiot/ janvier 7, 2016/ Audiovisual Content Structuring

Context The neOCampus operation, started in June 2013, brings together 11 laboratories of the University Paul Sabatier, Toulouse: CESBIO, CIRIMAT, ECOLAB, IRIT, LAAS, LAPLACE, LCC, LERASS, LMDC, PHASE and LA, aiming to create a connected, innovative, sustainable and self-adaptative campus to improve everyday comfort, decrease the ecological footprint and reduce operating costs. Since the operation monitors unsupervised users (students, teachers, staff),

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Multimodal Spatio-temporal clustering

Jpetiot/ janvier 7, 2012/ Audiovisual Content Structuring

Context  Based on the idea that TV series – which tend to have more and more complex plot, with numerous characters and multiple intertwined stories – are already segmented into narrative themes in post-production, we present a system able to discover the structure of an episode without a priori knowledge. The system proceeds by segmenting the episode into shots, then

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Interaction and Speaker Role Detection

Jpetiot/ janvier 7, 2010/ Audiovisual Content Structuring

Context  Work on features extraction and segmentation carried out in our team provides sets of low-level features or segments that can be considered as basic events. Their exploitation and their combination carried out in different ways can lead to the detection of new features or events of a higher or more semantic level. In previous work, we have studied temporal relationships between basic audio

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Adaptative User-Defined Similarity Measure

Jpetiot/ janvier 7, 2008/ Audiovisual Content Structuring

Context  With the aim of audiovisual database consulting, without being limited to a predefined applicative context, the prospect of a user-dependent interactive visual organization should be enviable: with S a same small subset of documents, a user should have the possibility to explore several geographical representations of it; the rest of the corpus (or a part of it) has to reorganize itself regarding

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Temporal Relation Matrix

Jpetiot/ janvier 7, 2007/ Audiovisual Content Structuring

Context Feature extraction constitutes the first level of audiovisual content analysis. Basic characteristics are available through segmentation results and can be considered as low level descriptors. Our goal is to reach a higher level and propose new sets of descriptors related to relevant semantic and structural events occurring in the audiovisual content. This challenging issue can be addressed in different

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