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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
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
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)

Submitter: 山本 雅人

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