Title :
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
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;
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
DOI :
10.1109/ICTTA.2008.4529998
