| Abstract |
| This paper proposes a Image retrieval system that searches the closest images to the user`s emotional need and displays images with higher ratings of color harmony from Moon-Spencer`s Color Harmony Theory first. Once an emotional adjective is placed, the system searches for images with colors that contain more elements derived from Aesthetic Measure results and displays in such order. In order to test reliability of the proposed emotion retrieval method based on Moon-Spencer`s Color Harmony Theory, this study compared the order of Aesthetic Measure results with the user satisfaction ratings using 200 sample images. The analysis demonstrated that the participants` average satisfaction on 15 emotion adjectives selected for the study was 5.0 on a 7-point Likert scale. Correlation analyses were performed to test the consistency the orders between Aesthetic Measure values and user satisfaction ratings. Positive correlations above R=.5 were observed in all 14 emotion words except "Clear". These findings prove the potential of the proposed emotion retrieval system based on Moon-Spencer`s Color Harmony Theory to effectively reflect user emotion in such visual stimulus search as image database. |
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| Key Words |
| 색채 조화론, 미도, 이미지검색시스템, 모바일 콘텐츠, Color Harmony Theory, Aesthetic Measure, Image Retrieval System, Mobile Contents |
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