| 大会名称 |
|---|
| 2016年 情報科学技術フォーラム(FIT) |
| 大会コ－ド |
| F |
| 開催年 |
| 2016 |
| 発行日 |
| 2016-08-23 |
| セッション番号 |
| 6K |
| セッション名 |
| 人の知覚と行動 |
| 講演日 |
| 2016/09/09 |
| 講演場所(会議室等) |
| 共通教育棟A棟3階A33 |
| 講演番号 |
| J-049 |
| タイトル |
| An Analysis of Image Similarity Estimation based on Eye Information |
| 著者名 |
| Mario Saputra, Mutsumi Suganuma, Wataru Kameyama, |
| キーワード |
| image retrieval, image similarity, eye movement, pupil size, eye fixation |
| 抄録 |
| The purpose of this research is to produce an image similarity map reflecting user subjectivity using eye information measured by eye tracker device. Based on the experiment of comparing images, an image ranking for each subject is made by using pairwise comparison method. Fifteen eye related features have been collected from ten subjects. To these features, PCA and SVD algorithms are applied to get an image similarity map. By comparing image subjective ranking with the corresponding map, we find that the SVD results are better than PCA, reflecting the subjective similarity. |
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