Using CBIR and pathfinder networks for image database visualisation

Author

Gagaudakis, George ; Rosin, Paul L. ; Chen, Chaomei

Author_Institution

Dept. of Comput. Sci., Cardiff Univ., UK

Volume

1

fYear

2000

fDate

2000

Firstpage

1052

Abstract

Digital images and videos have an increasingly important role in today´s telecommunication and our everyday life in modern information society. In this paper, we explore the synergy between content-based image retrieval (CBIR) techniques and Pathfinder networks. Salient image features, based on colour, texture, edge orientation, and edge distance, are extracted. The structural modelling capabilities of Pathfinder are then applied to simplify and visualise the strongest interrelationships in the image database

Keywords

computer networks; data visualisation; edge detection; feature extraction; image colour analysis; image retrieval; image texture; visual databases; content-based retrieval; data visualisation; edge detection; edge orientation; feature extraction; image colour; image database; image retrieval; image texture; pathfinder networks; salient image features; Chaos; Content based retrieval; Data mining; Feature extraction; Histograms; Image databases; Image retrieval; Information retrieval; Videos; Visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2000. Proceedings. 15th International Conference on

Conference_Location

Barcelona

ISSN

1051-4651

Print_ISBN

0-7695-0750-6

Type

conf

DOI

10.1109/ICPR.2000.905652

Filename

905652