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インタラクティブGAに基づく画像検索システムの評価
Title: | インタラクティブGAに基づく画像検索システムの評価 |
Other Titles: | Evaluation of the Image Retrieval System Using Interactive Genetic Algorithm |
Authors: | 長尾, 光悦1 Browse this author →KAKEN DB | 山本, 雅人2 Browse this author →KAKEN DB | 鈴木, 恵二3 Browse this author →KAKEN DB | 大内, 東4 Browse this author →KAKEN DB |
Authors(alt): | Nagao, Mitsuyoshi1 | Yamamoto, Masahito2 | Suzuki, Keiji3 | Ohuchi, Azuma4 |
Keywords: | image retrieval system | interactive genetic algorithm | subjectivity | retrieval history |
Issue Date: | 1-Sep-1998 |
Publisher: | 社団法人人工知能学会 |
Journal Title: | 人工知能学会誌 |
Volume: | 13 |
Issue: | 5 |
Start Page: | 720 |
End Page: | 727 |
Abstract: | In the conventional image retrieval, the user has performed the retrieval by using linguistic keywords. However, it is difficult to use this method in the image retrieval treating the user's subjectivity like the impression received from images. Recently, as one of the method treating the user's subjectivity, the interactive genetic algorithms is researched. In this paper, we propose the image retrieval system using the interactive genetic algorithms in the retrieval treating the personal subjectivity. Using the combination of the artificial selection used in the conventional interactive genetic algorithms and natural selection, the number of the branch from a certain generation could be increased. Moreover, the use of the retrieval history can give the user the effective retrieval without performing the complex evaluation of the presented images. We evaluate the system through the experiment using the subjects. In addition, we compare the proposed system with the system using the conventional interactive genetic algorithms which decides the parents by using artificial selection. |
Type: | article |
URI: | http://hdl.handle.net/2115/64530 |
Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 山本 雅人
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