Une interface de visualisation avec retour de pertinence pour la recherche d'images

LES AUTEURS : Le Thi Lan, Alain Boucher, Monique Thonnat

RESUME:

The domain of image retrieval is still an open problem in comparison with the results
obtained in the domain of text retrieval. The problem of semantic image retrieval is even more
difficult and open. In this article, we propose a new technique of image retrieval enabling, by
interaction with the user, to extract fast and easily his/her objective. Here we propose a 2D
graphic interface adapted to the problem of image retrieval and enabling a bidirectional communication:
from the system towards the user to visualize the current research results and from
the user towards the system so that the user can provide some relevance feedback information
to refine his/her query. Relevance feedback is only in the form of validation of result images (or
positive examples). This approach has been implemented and tested on an image database of
1000 images. The results are promising. A comparison with a traditional interface is shown.

Mots clé: Content-Based Image Indexing and Retrieval,Visualization, Relevance Feedback

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BibTeX reference:

@INPROCEEDINGS{lle_CORIA06,
author = {Le Thi Lan, Alain Boucher, Monique Thonnat},
title = {Une interface de visualisation avec retour de pertinence
pour la recherche d'images},
booktitle = {Rencontres des Jeunes Chercheurs en Recherche
d'Information (RJCRI'06)},
year = {2006},
pages = {329-334},
address = {Lyon, France},
month = {Mars}
}

Dernière mise à jour : 23/11/07
Catherine.Martin@sophia.inria.fr