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
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;
Conference_Titel :
Frontiers of Computer Vision (FCV), 2015 21st Korea-Japan Joint Workshop on
Conference_Location :
Mokpo
DOI :
10.1109/FCV.2015.7103707
