Minor Component Analysis (MCA) Applied to Image Classification in CBIR Systems

Author

Marko Jankovic;Goran Zajic;Vladan Radosavljevic;Nenad Kojic;Nikola Reljin;Maja Rudinac;Stevan Rudinac;Branimir Reljin

Author_Institution

Member, IEEE, Institute Nikola Tesla, Belgrade, Serbia, E-mail: elmarkoni@ieent.org, mishicaz@hotmail.com, ireljin@ptt.yu

fYear

2006

Firstpage

11

Lastpage

16

Abstract

A content-based image retrieval system with query image classification prior to retrieving procedure is proposed. Query image is compared to representative patterns of image classes, not to all images from database, accelerating thus initial retrieving step. Such procedure is possible when images from database are grouped into classes with similar content. Classification is performed using minor component (MC) analysis. Since it is expectable that MCs mainly depend on image details, not on an image background, this approach seems to be more efficient than classic CBIR. Minor components may be calculated by using single-layer neural network. The efficiency of proposed system is tested over images from Corel dataset

Keywords

"Image analysis","Image classification","Image retrieval","Content based retrieval","Image databases","Acceleration","Information retrieval","Performance analysis","Neural networks","System testing"

Publisher

ieee

Conference_Titel

Neural Network Applications in Electrical Engineering, 2006. NEUREL 2006. 8th Seminar on

Print_ISBN

1-4244-0432-0

Type

conf

DOI

10.1109/NEUREL.2006.341164

Filename

4147152