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
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;
Conference_Titel :
Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-8603-5
DOI :
10.1109/ICME.2004.1394313
