인간심리를 이용한 감성 모델과 영상검색에의 적용Emotional Model via Human Psychological Test and Its Application to Image Retrieval
- Other Titles
- Emotional Model via Human Psychological Test and Its Application to Image Retrieval
- Authors
- 유헌우; 장동식
- Issue Date
- 2005
- Publisher
- 대한산업공학회
- Keywords
- emotion-based image retrieval; color array; gray matrix
- Citation
- 대한산업공학회지, v.31, no.1, pp.8 - 8
- Indexed
- KCI
- Journal Title
- 대한산업공학회지
- Volume
- 31
- Number
- 1
- Start Page
- 8
- End Page
- 8
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/126083
- ISSN
- 1225-0988
- 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, unstable- stable, light-dark, strong-weak, gaudy-plain, hard-soft, heavy-light are modeled by 19-dimensional color array and 4×3 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.
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Collections - College of Engineering > School of Industrial and Management Engineering > 1. Journal Articles
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