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Emotional Model via Human Psychological Test and Its Application to Image Retrieval  

Yoo, Hun-Woo (Center for Cognitive Science, Yonsei University)
Jang, Dong-Sik (Department of Industrial Engineering, Korea University)
Publication Information
Journal of Korean Institute of Industrial Engineers / v.31, no.1, 2005 , pp. 68-78 More about this Journal
Abstract
A new emotion-based image retrieval method is proposed in this paper. The research was motivated by Soen's evaluation of human emotion on color patterns. Thirteen pairs of adjective words expressing emotion pairs such as like-dislike, beautiful-ugly, natural-unnatural, dynamic-static, warm-cold, gay-sober, cheerful-dismal, unstablestable, light-dark, strong-weak, gaudy-plain, hard-soft, heavy-light are modeled by 19-dimensional color array and $4{\times}3$ gray matrix in off-line. Once the query is presented in text format, emotion model-based query formulation produces the associated color array and gray matrix. Then, images related to the query are retrieved from the database based on the multiplication of color array and gray matrix, each of which is extracted from query and database image. Experiments over 450 images showed an average retrieval rate of 0.61 for the use of color array alone and an average retrieval rate of 0.47 for the use of gray matrix alone.
Keywords
emotion-based image retrieval; color array; gray matrix;
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