Mapping Functions of Color Image Features and Human KANSEI

Author

Chen, Yen-wei ; Sobue, Shouta ; Huang, Xinyin

Author_Institution

Electron. & Inf. Eng. Sch., Central South Univ. of Forestry & Tech., Changsha

fYear

2008

fDate

15-17 Aug. 2008

Firstpage

725

Lastpage

728

Abstract

KANSEI is a Japanese term which means psychological feeling or image of a product. KANSEI engineering refers to the translation of consumers´ psychological feeling about a product into perceptual design elements. Recently several researches have been done for image indexing or image retrieval based on KANSEI factors. In this paper, we report a quantitative study on relationship between image color features and human KNASEI factors. We use the semantic differential (SD) method to extract the KANSEI factors (impressions) such as bright, warm from 4 group subjects (Children, students, adults, elderly person) while they viewing an image (painting). A neural network is used to learn the mapping functions (relationships) from the image feature space to human KANSEI factor space (psychological space).

Keywords

feature extraction; human factors; image colour analysis; neural nets; psychology; KANSEI engineering; color image features; consumer psychological feeling; image feature space; image indexing; image retrieval; mapping functions; neural network; perceptual design; product. image; semantic differential method; Color; Design engineering; Humans; Image retrieval; Indexing; Neural networks; Painting; Product design; Psychology; Senior citizens; PCA; color image; impression; mapping function; neural network; semantic differential;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Hiding and Multimedia Signal Processing, 2008. IIHMSP '08 International Conference on

Conference_Location

Harbin

Print_ISBN

978-0-7695-3278-3

Type

conf

DOI

10.1109/IIH-MSP.2008.301

Filename

4604157