Conceptual indexing of television images based on face and caption sizes and locations

Abstract : Indexing videos by their image content is an important issue for digital audiovisual archives. While much work has been devoted to classification and indexing methods based on perpetual qualities of images, such as color, shape and texture, there is also a need for classification and indexing of some structural properties of images. In this paper, we present some methods for image classification in video, based on the presence, size and location of faces and captions. We argue that such classifications are highly domain-dependent, and are best handled using flexible knowledge managment systems (in our case, a description logics).
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Communication dans un congrès
Robert Laurini. 4th International Conference on Advances in Visual Information Systems (VISUAL '00), Nov 2000, Lyon, France. Springer Verlag, 1929, pp.349--359, 2000, Lecture Notes in Computer Science (LNCS). 〈10.1007/3-540-40053-2_31〉
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Soumis le : mardi 3 mai 2011 - 09:24:57
Dernière modification le : mercredi 11 mai 2011 - 15:02:39
Document(s) archivé(s) le : vendredi 9 novembre 2012 - 10:21:24

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Rémi Ronfard, Christophe Garcia, Jean Carrive. Conceptual indexing of television images based on face and caption sizes and locations. Robert Laurini. 4th International Conference on Advances in Visual Information Systems (VISUAL '00), Nov 2000, Lyon, France. Springer Verlag, 1929, pp.349--359, 2000, Lecture Notes in Computer Science (LNCS). 〈10.1007/3-540-40053-2_31〉. 〈inria-00590141〉

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