Title :
“Kansei” image retrieval system for street landscape-discrimination and graphical parameters based on correlation of two images
Author :
Shibata, Tatsuya ; Kato, Toshikazu
Author_Institution :
Electrotech. Lab., Tsukuba, Japan
Abstract :
We define “Kansei” as discriminated subjective interpretation. The paper concerns a theoretical framework for a “Kansei” model and an application of a retrieval system for street-landscape images by using the “Kansei” model. The model is based on the relationship between adjectives and graphical parameters, so users´ subjective interpretation is reflected in the retrieval system. We introduce an auto-correlation model which can not only represent direction parameters in images but also is not dependent on a color average. The auto-correlation model can be defined as a correlation between reference area and spatial shifted areas. The operation is similar to that of the optical flow method. We conclude that the independence of graphical parameters is necessary for the “Kansei” model and “Kansei” is based on a process of discriminating our environment by using physical parameters, independent of each other
Keywords :
computer graphics; image retrieval; information retrieval systems; town and country planning; Kansei image retrieval system; Kansei model; auto-correlation model; color average; direction parameters; discriminated subjective interpretation; discrimination; graphical parameters; image correlation; optical flow method; physical parameters; reference area; retrieval system; spatial shifted areas; street landscape; street-landscape images; subjective interpretation; Application software; Augmented reality; Autocorrelation; Buildings; Cities and towns; Extraterrestrial measurements; Image motion analysis; Image retrieval; Psychology; Space technology;
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5731-0
DOI :
10.1109/ICSMC.1999.816558