Compact image signature generation: An application in image retrieval

Author

Chowdhury, Mashrur ; Das, S. ; Kundu, Malay Kumar

Author_Institution

Machine Intell. Unit, Indian Stat. Inst., Kolkata, India

fYear

2013

fDate

27-28 March 2013

Firstpage

1

Lastpage

7

Abstract

In this article, we have proposed a novel Content Based Image Retrieval (CBIR) system, where each image in the database is represented by a compact image signature which is computed using the Nonsubsampled Contourlet Transform (NSCT) and Fuzzy-C-means (FCM) technique. To improve the retrieval accuracy, the proposed system incorporates Least Square Support Vector Machine (LS-SVM) based classifier, Earth Mover´s Distance (EMD) and Relevance Feedback Mechanism (RFM). Extensive experiments were carried out to evaluate the effectiveness of the proposed system on SIMPLIcity image database consisting of 1000 images. Experimental results and comparisons show that the proposed CBIR system performs efficiently in image retrieval domain.

Keywords

content-based retrieval; fuzzy set theory; image retrieval; least squares approximations; pattern classification; relevance feedback; support vector machines; transforms; visual databases; CBIR system; EMD; Earth mover distance; FCM technique; LS-SVM; NSCT; RFM; SIMPLIcity image database; compact image signature generation; content based image retrieval; fuzzy-C-means; least square support vector machine; nonsubsampled contourlet transform; relevance feedback mechanism; Accuracy; Computer science; Databases; Entropy; Image color analysis; Information technology; Support vector machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Information Technology (CSIT), 2013 5th International Conference on

Conference_Location

Amman

Type

conf

DOI

10.1109/CSIT.2013.6588749

Filename

6588749