Cognitive bridge between haptic impressions and texture images for subjective image retrieval

Yuichi Kobayashi, Jun Ohya, Zhongfei Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

As a step towards subjective image retrieval, this paper reports an on-going collaboration project between Waseda University and SUNY, Binghamton, on relating texture images to haptic impressions. To grasp 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.

Original languageEnglish
Title of host publication2004 IEEE International Conference on Multimedia and Expo (ICME)
Pages2239-2242
Number of pages4
Publication statusPublished - 2004 Dec 1
Event2004 IEEE International Conference on Multimedia and Expo (ICME) - Taipei, Taiwan, Province of China
Duration: 2004 Jun 272004 Jun 30

Publication series

Name2004 IEEE International Conference on Multimedia and Expo (ICME)
Volume3

Conference

Conference2004 IEEE International Conference on Multimedia and Expo (ICME)
CountryTaiwan, Province of China
CityTaipei
Period04/6/2704/6/30

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Kobayashi, Y., Ohya, J., & Zhang, Z. (2004). Cognitive bridge between haptic impressions and texture images for subjective image retrieval. In 2004 IEEE International Conference on Multimedia and Expo (ICME) (pp. 2239-2242). (2004 IEEE International Conference on Multimedia and Expo (ICME); Vol. 3).