DocumentCode
1583310
Title
A search system based on image features
Author
Djeraba, Chabane ; Fargeaud, Patrick ; Briand, Henri
Author_Institution
IRESTE, Nantes, France
fYear
1997
Firstpage
80
Lastpage
85
Abstract
We present a system platform for the content based retrieval of images. The system has resulted in a prototype with two major steps: extraction and queries. We combine manual, semi automatic and automatic approaches in order to extract image regions (colors, shapes). Regions, which are extracted semi automatically, are significant and relevant for the final user. Shapes are represented by powerful mathematical formulas, so the representation of the shape is independent of the rotation, homothecie and translation. The features extracted are modeled, using object technology, in the database management system O2. The object modeling has several advantages such as simplification of the encapsulation of data that saves developers many details of particular image hardware or software. This makes the framework portable and extensible.
Keywords
data encapsulation; feature extraction; image segmentation; information retrieval; object-oriented databases; visual databases; automatic approach; content based image retrieval; data encapsulation; database management system O2; feature extraction; image features; image regions; mathematical formulas; object modeling; object technology; search system; shape representation; Content based retrieval; Data mining; Database systems; Encapsulation; Feature extraction; Hardware; Image retrieval; Power system modeling; Prototypes; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Database and Expert Systems Applications, 1997. Proceedings., Eighth International Workshop on
Conference_Location
Toulouse, France
Print_ISBN
0-8186-8147-0
Type
conf
DOI
10.1109/DEXA.1997.617240
Filename
617240
Link To Document