KANSEI based clothing fabric image retrieval

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 KANSEI based image indexing or image retrieval have been done by using interactive genetic algorithms (IGA). In this paper, we propose a new technique for clothing fabric image retrieval based on KANSEI (impressions). We first learn the mapping function between the fabric image features and the KANSEI and then the images in the database are projected into the KANSEI space (psychological space). The retrieval is done in the psychological space by comparing the query impression with the projection of the images in database. © 2009 Springer Berlin Heidelberg.