| Abstract |
| The knowledge base on emotional information is one of the key elements in the implementation of emotion retrieval systems for contents design of Mobile devices. This study proposed a new approach to the knowledge base implementation by automatically extracting color components from full-color images. In this study, the validity of the proposed method was empirically tested. Database was developed using 100 interior images as visual stimuli and a total of 48 subjects participated in the experiment. In order to test the reliability of the proposed `emotional information knowledge base`, firstly `recall ratio` that refers to frequencies of correct images from the retrieved images was derived. Secondly, correlation Analysis was performed to compare the ratings by the subjects to what the system calculated. Finally, the rating comparison was used to run a paired-sample t-test. The analysis demonstrated satisfactory recall ration of 62.1%. Also, a significant positive correlation (p<.01) was observed from all the emotion keywords. The paired Sample t-test found that all the emotion keywords except "casual" retrieved the images in the order from more relevant to less relevant images and the difference was statistically significant (t(9)=5.528, p<.05). Findings of this study support that the proposed `emotional information knowledge base` established only with color information automatically extracted from images can be effectively used for such visual stimuli search tasks as commercial interior images. |
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| Key Words |
| 색채정보, 지식베이스, 감성검색시스템, 모바일 콘텐츠, Color Information, Knowledge-Base, Emotion Retrieval System, Mobile Contents |
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