Abstract
Recently, the image retrieval based on content is capable of understanding the semantics of visual information. However, it is hard to represent emotion or feeling of human. To approach more intelligent content-based retrieval, we focus on KANSEI information. This paper presents a method of matching color, which is part of visual information associated with KANSEI-vocabulary relation. We use WordNet that is a kind of lexical ontology by relations between words. We define relation for matching between color and KANSEI vocabulary using the meaning of color table. We propose the similarity measure between Color-KANSEI vocabulary and query. After experiment we can find the best pertinent color using Lesk algorithm. The significance of our study is finding semantically pertinent color according to various queries based on WordNet. This is the approach as computing vocabulary to show KANSEI of Human.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ono, A., Amano, M., Hakaridani, M., Satou, T., Sakauchi, M.: A fiexible Content-based Image Retrival System with Combined Scene Description Keyword. In: Proceeding of Multimedia, vol. 96, pp. 201–208 (1996)
Yamazaki, H., Kondo, K.: A Method of Changing a Color Scheme with KANSEI Scales. Journal for Geometry and Graphics 3(1), 77–84 (1999)
Murai, S., Ono, K., Tanaka, N.: KANSEI-based Color Design for City Map. ARSRIN 2001 1(3) (2001)
Park, S., Kim, H., Choi, J., Jang, M.: Color word-to-Color Matching or Natural Language Query in Multimedia Information Retrieval. In: HCI 2001 (2001)
Nam, Y.-J.: The Construction of Sensibility Thesaurus Based on Color. Journal of Information Management 34(4), 43–61 (2003)
Singenobu, K.: Color Image Scale. Kodansha America (1990)
Nagumo, H.: Color Image Chart. Chohyung Publishing Co. (2000)
I.R.: I Adjective Image Scale, http://www.iricolor.com/04_colorinfo/colorsystem.html
Hewlett-Packard: Color Printing Center-The Meaning of Color, http://www.hp.com/united-states/public/color/meaning.html
Miller, G.A.: WordNet: a lexical database for English. Communications on the ACM (1995)
Fellbaum, C., Gross, D., Miller, K.: Adjectives in WordNet, http://www.cogsci.princeton.edu/~wn
Banerjee, S., Pedersen, T.: An adapted Lesk algorithm for word sense disambiguation using WordNet. In: Proceedings of the Third International Conference on Intelligent Text Processing and Computational Linguistics, Mexico City, pp. 136–145 (2002)
Banerjee, S., Pedersen, T.: Extended gloss overlaps as a measure of semantic relatedness. In: Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, Acapulco, pp. 805–810 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Baek, S., Cho, M., Kim, P. (2005). Matching Colors with KANSEI Vocabulary Using Similarity Measure Based on WordNet. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3480. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424758_5
Download citation
DOI: https://doi.org/10.1007/11424758_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25860-5
Online ISBN: 978-3-540-32043-2
eBook Packages: Computer ScienceComputer Science (R0)