A Kansei retrieval method using physical features of Japanese crafts
by Akihiro Miyakawa, Tomoyuki Ishida, Yoshitaka Shibata
International Journal of Applied Systemic Studies (IJASS), Vol. 3, No. 1, 2010

Abstract: In this paper, we propose a Kansei retrieval method based on the design pattern of traditional Japanese crafts to provide a user with the desired presentation space. The visual quantitative features for crafts are extracted using Visual Pattern Image Coding (VPIC) and registered in the multimedia database and the relation between Kansei words and the visual feature of crafts are analysed using the questionnaire. Then, the visual features are compared with the quantitative feature values. Through the above process, the relation between the design pattern components and edge types is found using VPIC. Finally the Kansei retrieval method can be realised.

Online publication date: Wed, 10-Feb-2010

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