SIGIR'98 demonstrations:
Towards a Fast Precision-Oriented Image Retrieval System
Towards a Fast Precision-Oriented Image Retrieval System
Yves
Chiaramella
CLIPS-IMAG,
Université de Grenoble,
BP 53, 38041, France.
Mourad Mechkour
CLIPS-IMAG,
Université de Grenoble,
BP 53, 38041, France.
Philippe Mulhem
CLIPS-IMAG,
Université de Grenoble,
BP 53, 38041, France.
Iadh Ounis
CLIPS-IMAG,
Université de Grenoble,
BP 53, 38041, France.
Marius Pasca
CLIPS-IMAG,
Université de Grenoble,
BP 53, 38041, France.
Abstract
The RELIEF image retrieval system is proposed as an integration of
object-oriented modeling and Web technology, in an implementation of the
logical information retrieval model on the O2 database management system.
Following a relational indexing approach, it uses the conceptual graph
formalism as the indexing language, and logic and standard information
retrieval techniques to speed-up the retrieval process. The latter is performed
by a polynomial matching function. Moreover, it includes relation-based
inference which refines and extends the original matching function used in
conceptual graphs, and improves the system performance in terms of
recall/precision. Therefore, RELIEF is a first answer to the challenge of
using expressive relational formalisms for accurate indexing in a
precision-oriented system, while limiting retrieval time within reasonable
values.
SIGIR'98
24-28 August 1998
Melbourne, Australia.
sigir98@cs.mu.oz.au.