DocumentCode
3503851
Title
An effective method for combining multiple features of image retrieval
Author
Jeong, Seyoon ; Kim, Kyuheon ; Chun, Byungtae ; Lee, Jaeyeon ; Bae, Younglae J.
Author_Institution
Dept. of Image Process., Electron. & Telecommun. Res. Inst., Taejon, South Korea
Volume
2
fYear
1999
fDate
36495
Firstpage
982
Abstract
We propose an image retrieval system using the Borda count method in combining multiple experts (CME). It combines color-, shape- and texture-based retrieval systems. CME method can complementarily combine results of each retrieval system, which uses different features. There are some problems when the Borda count method in pattern recognition is applied to image retrieval. Thus, we propose a modified Borda count method to solve these problems. In the experiment our method reduces false positive errors and produces better results than that of each retrieval module that uses only one feature
Keywords
feature extraction; image colour analysis; image retrieval; image texture; pattern recognition; Borda count method; color-based retrieval systems; combining multiple experts; combining multiple features; false positive errors reduction; image retrieval system; pattern recognition; shape-based retrieval systems; texture-based retrieval systems; Content based retrieval; Equations; Fuzzy neural networks; Image processing; Image retrieval; Laboratories; Pattern recognition; Shape; Software; Telecommunication computing;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 99. Proceedings of the IEEE Region 10 Conference
Conference_Location
Cheju Island
Print_ISBN
0-7803-5739-6
Type
conf
DOI
10.1109/TENCON.1999.818585
Filename
818585
Link To Document