DocumentCode :
2578177
Title :
Cognitive bridge between haptic impressions and texture images for subjective image retrieval
Author :
Kobayashi, Yuichi ; Ohya, Jun ; Zhang, Zhongfei
Author_Institution :
GITS, Waseda Univ., Tokyo, Japan
Volume :
3
fYear :
2004
fDate :
27-30 June 2004
Firstpage :
2239
Abstract :
As a step towards subjective image retrieval, This work reports an on-going collaboration project between Waseda University and SUNY, Binghamton, on relating texture images to haptic impressions. To capture the surface height variations, texture images are taken under different illuminations and viewing conditions. Our method applies a new frequency analysis method to the texture images. We evaluate the performances of our feature and other typical conventional features by checking whether texture images are correctly classified into "soft" or "hard" by the SVM (support vector machine) method, where the training data for the SVM are collected by subjective tests. Experimental results show that our texture feature can classify "soft" or "hard" better than the other features.
Keywords :
cognitive systems; feature extraction; image classification; image retrieval; image texture; support vector machines; SVM; haptic impression/texture image cognitive bridge; image frequency analysis; subjective image retrieval; support vector machine; surface height variations; texture feature classification; texture image illumination; texture image viewing conditions; Bridges; Collaborative work; Frequency; Haptic interfaces; Image analysis; Image retrieval; Lighting; Support vector machine classification; Support vector machines; Surface texture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8603-5
Type :
conf
DOI :
10.1109/ICME.2004.1394716
Filename :
1394716
Link To Document :
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