Browse > Article
http://dx.doi.org/10.9717/kmms.2016.19.4.717

A Study on Method for Extracting Emotion from Painting Based on Color  

Shim, Hyounoh (School of Computer Science & Engineering, Chung-Ang Univerisity)
Park, Seongju (School of Computer Science & Engineering, Chung-Ang Univerisity)
Yoon, Kyunghyun (School of Computer Science & Engineering, Chung-Ang Univerisity)
Publication Information
Journal of Korea Multimedia Society / v.19, no.4, 2016 , pp. 717-724 More about this Journal
Abstract
Paintings can evoke emotions in viewers. In this paper, we propose a method for extracting emotion from paintings by using the colors that comprise the paintings. For this, we generate color spectrum from input painting and compare the color spectrum and color combination for finding most similarity color combination. The found color combinations are mapped with emotional keywords. Thus, we extract emotional keyword as the emotion evoked by the painting. Also, we vary the form of algorithms for matching color spectrum and color combinations and extract and compare results by using each algorithm.
Keywords
Color; Emotion of Color; Color Combinations; Emotion of Painting;
Citations & Related Records
연도 인용수 순위
  • Reference
1 J. Zujovic, L. Gandy, S. Friedman, B. Pardo, T.N. Pappas, "Classifying Painings by Artistic Genre: An Analysis of Features & Classifiers," Proceeding of International Workshop on Multimedia Signal Processing, pp. 1-5, 2009.
2 V. Yanulevskaya, J.C. van Gemert, A.K. Herbold, K. Roth, N. Sebe, J.M. Geusebroek, "Emotional Valence Categorization Using Holistic Image Features," Proceeding of International Conference on Image Processing, pp. 101-104, 2008.
3 O. Icoglu, B. Gunsel, and S. Sariel, "Classification and Indexing of Paintings Based on Art Movements," Proceeding of Signal Processing Conference 2004 12th European, pp. 749-752, 2004.
4 H. Shim, D. Kang, and K. Yoon, "Extracting Emotional Adjectives from Paintings Using Color Combinations," Proceeding of Computer Graphics International, 2015. (online proceeding)
5 S. Kobayashi, Color Image Scale, Kosdansha International, Tokyo, 1991.
6 S. Kobayashi, Colorist: A Practical Handbook for Personal and Professional Use, Kosdansha International, Tokyo, 1998.
7 S. Kobayashi, “The Aim and Method of the Color Image Scale,” Journal of Color Research & Application, Vol. 6, No. 2, pp. 93-107, 1981.   DOI
8 C. Tomasi, "Bilateral Filtering for Gray and Color Images," Proceeding of International Conference on Computer Vision, pp. 839-846, 1998.
9 R. Achanta, “SLIC Superpixels Compared to State-of-the-art Superpixel Methods,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 34, No. 11, pp. 2274-2282, 2012   DOI
10 F. Perazzi, "Saliency Filters: Contrast Based Filtering for Salienct Region Detection," Proceeding of Computer Vision and Pattern Recognition, pp. 733-740, 2012.
11 E. Sohn, J. Kim, “Design of A Tool for Color Combination Image Effects on Animated Characters’ Clothes”, Journal of Korea Multimedia Society, Vol. 10, No. 10, pp. 1319-1327, 2007.