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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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Submitted on : Tuesday, September 26, 2006 - 8:36:28 AM
Last modification on : Friday, February 26, 2021 - 3:28:04 PM
Long-term archiving on: : Wednesday, March 29, 2017 - 12:48:28 PM


  • HAL Id : inria-00098779, version 1



Gérald Duffing. An Alternative Image Retrieval System Based on Visual and Thematic Corpus Organisation. International Conference on Multimedia Computing & Systems - IEEE MULTIMEDIA SYSTEMS '99, 1999, Florence, Italy, 5 p. ⟨inria-00098779⟩



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