An Alternative Image Retrieval System Based on Visual and Thematic Corpus Organisation

Gérald Duffing 1
1 LANGUE ET DIALOGUE - Human-machine dialogue with a significant language component
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Retrieving images in large databases involves either thematic or visual querying capabilities. We think that both approaches can be efficiently combined to provide a thematically and visually relevant retrieval. This paper deals with bi-modal access in image retrieval systems. Our approach relies on a corpus organisation based on both visual and thematical clustering, allowing access to non-indexed images. An adapted retrieval process has been designed to reformulate queries, taking into account users's judgements that deal with thematical and visual aspects of their information needs.
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Communication dans un congrès
IEEE. International Conference on Multimedia Computing & Systems - IEEE MULTIMEDIA SYSTEMS '99, 1999, Florence, Italy, 5 p, 1999
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https://hal.inria.fr/inria-00098779
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Soumis le : mardi 26 septembre 2006 - 08:36:28
Dernière modification le : jeudi 11 janvier 2018 - 06:19:48
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Gérald Duffing. An Alternative Image Retrieval System Based on Visual and Thematic Corpus Organisation. IEEE. International Conference on Multimedia Computing & Systems - IEEE MULTIMEDIA SYSTEMS '99, 1999, Florence, Italy, 5 p, 1999. 〈inria-00098779〉

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