Content description and classification for Image recognition system

Author

Kachouri, Rostom ; Djemal, Khalifa ; Maaref, Hichem ; Masmoudi, Dorra Sellami ; Derbel, Nabil

Author_Institution

Inf., Integrative Biol. & Complex Syst., Evry

fYear

2008

Firstpage

1

Lastpage

4

Abstract

In this paper, an heterogeneous image recognition system based on content description and classification is proposed. In this system and for an heterogeneous image database several features extraction methods are used and applied to better describes the images content. The features relevance is tested and improved through support vectors machines (SVMs) classifier of the consequent images index database. The obtained accuracy recognition of proposed system is evaluated on heterogeneous images database using precision/recall curves.

Keywords

content-based retrieval; distributed databases; feature extraction; image recognition; image retrieval; support vector machines; visual databases; CBIR; content based image retrieval; content classification; content description; feature extraction; heterogeneous image database; image recognition system; support vector machines; Content based retrieval; Feature extraction; Image databases; Image recognition; Image retrieval; Indexing; Shape; Spatial databases; Support vector machine classification; Support vector machines; CBIR; SVM; feature extraction; heterogeneous image database;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Communication Technologies: From Theory to Applications, 2008. ICTTA 2008. 3rd International Conference on

Conference_Location

Damascus

Print_ISBN

978-1-4244-1751-3

Electronic_ISBN

978-1-4244-1752-0

Type

conf

DOI

10.1109/ICTTA.2008.4529998

Filename

4529998