DocumentCode
427060
Title
Fuzzy semantic labeling for image retrieval
Author
Paterno, Margarita C S ; Lim, Fun Siong ; Leow, Wee Kheng
Author_Institution
Dept. of Comput. Sci., Nat. Univ. of Singapore
Volume
2
fYear
2004
fDate
30-30 June 2004
Firstpage
767
Abstract
The paper proposes a fuzzy image labeling method that assigns multiple semantic labels together with confidence measures to each region in an image. The confidence measures are derived from the distance of the region to hyperplanes constructed by support vector machines. Test results show that this method yields higher classification accuracy and retrieval precision than crisp labeling methods that are based on crisp classification
Keywords
fuzzy logic; image classification; image matching; image retrieval; learning (artificial intelligence); support vector machines; SVM training; classification accuracy; confidence measures; crisp classification; crisp labeling methods; fuzzy image labeling; fuzzy semantic labeling; hyperplanes; image matching; image retrieval; retrieval precision; support vector machines; Computer science; Drives; Image retrieval; Labeling; Nearest neighbor searches; Neural networks; Partitioning algorithms; Support vector machine classification; Support vector machines; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on
Conference_Location
Taipei
Print_ISBN
0-7803-8603-5
Type
conf
DOI
10.1109/ICME.2004.1394313
Filename
1394313
Link To Document