• DocumentCode
    2647776
  • Title

    Mood from painting: Estimating the mood of painting by using color image scale

  • Author

    Dongwann Kang ; Hyounoh Shim ; Kyunghyun Yoon

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Chung-Ang Univ., Seoul, South Korea
  • fYear
    2015
  • fDate
    28-30 Jan. 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A Color Image Scale is one of useful resources for allowing designer the expression of mood through the color combination. This study proposes a method for estimating the mood in Color Image Scale from three color combinations by using machine learning technique. After we find the correlation between the mood and the properties of color combination, we extract three dominant colors from an image. Finally, we estimate the mood of the painting by using the properties of three dominant colors.
  • Keywords
    art; image colour analysis; learning (artificial intelligence); color image scale; machine learning technique; mood estimation; painting; Color; Correlation; Estimation; Feature extraction; Image color analysis; Mood; Painting; color combinations; color image scale; mood; painting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers of Computer Vision (FCV), 2015 21st Korea-Japan Joint Workshop on
  • Conference_Location
    Mokpo
  • Type

    conf

  • DOI
    10.1109/FCV.2015.7103707
  • Filename
    7103707