DocumentCode :
1742880
Title :
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
Link To Document :
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