• DocumentCode
    2813322
  • 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
  • fYear
    2011
  • fDate
    9-11 Feb. 2011
  • Firstpage
    1
  • Lastpage
    6
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/FCV.2011.5739710
  • Filename
    5739710