DocumentCode :
2094892
Title :
The Study and Application of the Product Image Survey and Retrieval System Based on Kansei Engineering
Author :
Tang Zhichuan ; Sun Shouqian ; Guan Hongyue ; Yang Zhongliang
Author_Institution :
Coll. of Comput. Sci. & Technol., Zhejiang Univ., Hangzhou, China
fYear :
2013
fDate :
16-18 Nov. 2013
Firstpage :
453
Lastpage :
454
Abstract :
A product image survey and retrieval model is constructed by the method of Kansei engineering. And a product image survey and retrieval system (PISR system) based on Kansei engineering is built according to this model, which is consisted of the product image survey subsystem and the product image retrieval subsystem. The online survey is carried out on Internet and then the product Kansei image based on consumers is extracted through various data analysis methods, according to the result of data analysis, a picture of 2D or 3D image scale is produced and it is convenient to obtain the information of product Kansei image for the designers, the product Kansei image databases are built and the designers can search the matching products by inputting image words as a reference, which makes designers and the consumers reach an agreement on product Kansei image. The application of the PISR system is universal to all kinds of products. It is successfully verified that this system can help the designers gain product orientation, conduct the process of product design and improve the overall efficiency of product development.
Keywords :
image retrieval; product design; product development; production engineering computing; Internet; Kansei engineering; PISR system; data analysis methods; image scale; image words; product Kansei image databases; product design; product development; product image retrieval subsystem; product image survey and retrieval system; product image survey subsystem; product orientation; Computational modeling; Data analysis; Educational institutions; Ergonomics; Image retrieval; Product design; Product development; Kansei; designers and consumers; image; product information; survey and retrieval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Aided Design and Computer Graphics (CAD/Graphics), 2013 International Conference on
Conference_Location :
Guangzhou
Type :
conf
DOI :
10.1109/CADGraphics.2013.93
Filename :
6815057
Link To Document :
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