Title :
A deliciousness information extraction method by controlling of image information
Author :
Nohara, Sachiyo ; Kato, Kunihito ; Yamamoto, Kazuhiko ; Yoshimura, Wakako ; Kasamatsu, Chinatsu
Author_Institution :
Fac. of Eng., Gifu Univ., Gifu, Japan
Abstract :
It is difficult to analyze how human feels deliciousness by seeing served food because many factors affect to judgment of deliciousness. Human recognizes and evaluates deliciousness of the food from many points of view. In this paper, we propose a method to extract the points of view and factors that recognize deliciousness. Images which are reduced resolution to control information of the image were provided to the subjects. At low resolution images, we cannot see many factors which can be recognized at higher resolution, and we judge deliciousness from the only factor which can be recognized. We show the effectiveness of our proposed method for applying the box lunch.
Keywords :
behavioural sciences computing; feature extraction; image resolution; control information; deliciousness information extraction method; image information; image resolution; Brightness; Data mining; Humans; Image color analysis; Image recognition; Image resolution; Mirrors; Japanese lunch box; change of resolution; deliciousness; deliciousness information extraction; image information;
Conference_Titel :
Frontiers of Computer Vision (FCV), 2011 17th Korea-Japan Joint Workshop on
Conference_Location :
Ulsan
Print_ISBN :
978-1-61284-677-4
Electronic_ISBN :
978-1-61284-676-7
DOI :
10.1109/FCV.2011.5739710