New image retrieval paradigm: logical composition of region categories

Author

Fauqueur, Julien ; Boujemaa, Nozha

Author_Institution

Imedia Res. Group, INRIA, Le Chesnay, France

Volume

3

fYear

2003

fDate

14-17 Sept. 2003

Abstract

We present a novel framework for intelligent search and retrieval by image content composition. Very different from the existing query-by-example paradigm, logical queries are expressed using categories of similar regions without any starting example region. The set of region category representatives constitutes the "photometric region thesaurus" of the image database. Logical composition of region categories expresses the presence and absence of certain types of regions in images to retrieve and allows to integrate visual semantics in the search. Resulting indexing and retrieval implementation turns out to be simple and very fast even on very complex query compositions and large image database. It was tested on a database of 9,995 images from the Corel Photostock.

Keywords

content-based retrieval; image retrieval; query formulation; visual databases; Corel Photostock; image content composition; image retrieval; intelligent search; large image database; logical composition; logical queries; region categories; visual semantics; Content based retrieval; Focusing; Image databases; Image retrieval; Image segmentation; Indexing; Information retrieval; Prototypes; Testing; Visual databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on

ISSN

1522-4880

Print_ISBN

0-7803-7750-8

Type

conf

DOI

10.1109/ICIP.2003.1247316

Filename

1247316