Robust detail recognition and location technique for image retrieval in digital repositories

Author

Capodiferro, L. ; Neri, A. ; Nibaldi, M. ; Jacovitti, G.

Author_Institution

Fondazione "Ugo Bordoni", Rome, Italy

fYear

2004

fDate

14-16 July 2004

Firstpage

439

Lastpage

443

Abstract

Large collections of image documents are today accessible via communication networks. Cost effective retrieval of the wanted images needs convenient browsing tools. In this contribution a technique for image selection on the basis of key details is illustrated. The technique is useful for instance for assisted queries to digital artwork collections, tele-sensing images, aerial photographs, astronomic databases, etc. The basic feature of the method is the capability of detecting and locating anyway rotated details with reasonable computational costs. In this work a criterion for proper choice of detail reference points is illustrated.

Keywords

content-based retrieval; image recognition; image retrieval; aerial photographs; assisted queries; astronomic databases; browsing tools; communication networks; content based image recognition; cost effective retrieval; digital artwork collections; digital repositories; image documents; image retrieval; image selection; pattern localization; robust detail location; robust detail recognition; tele-sensing images; Communication networks; Costs; Gaussian processes; Image databases; Image recognition; Image retrieval; Maximum likelihood detection; Maximum likelihood estimation; Object detection; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Visualisation, 2004. IV 2004. Proceedings. Eighth International Conference on

ISSN

1093-9547

Print_ISBN

0-7695-2177-0

Type

conf

DOI

10.1109/IV.2004.1320181

Filename

1320181