Searching color images by emotional concepts

Authors:
Sungyong Hong;Chulbum Ahn;Yunmook Nah;Lynn Choi
Affiliations:
Department of Electronics and Computer Engineering, Dankook University, Seoul, Korea;Department of Electronics and Computer Engineering, Dankook University, Seoul, Korea;Department of Electronics and Computer Engineering, Dankook University, Seoul, Korea;Department of Electronics and Computer Engineering, Korea University, Seoul, Korea
Venue:
HSI'05 Proceedings of the 3rd international conference on Human Society@Internet: web and Communication Technologies and Internet-Related Social Issues
Year:
2005

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Abstract

Most of the content-based image retrieval systems focus on similarity- based retrieval of images by utilizing color, shape and texture features. For color-based image retrieval, the average color or color-histograms of images are widely used as feature vectors. In this paper, we propose a new searching scheme, called Fuzzy Membership Value-Indexing, to guarantee higher retrieval quality. This scheme allows us to retrieve images based on high-level emotional concepts, such as ‘cool', ‘soft', ‘strong,' etc. Each image is automatically classified into predefined emotional categories, by analyzing its color values in HSI color space and assigning appropriate fuzzy membership values. Our experimental results show that the proposed technique can reflect user's searching intention more accurately.