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Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >
Biomimetics Image Retrieval Platform
| Title: | Biomimetics Image Retrieval Platform |
| Authors: | HASEYAMA, Miki Browse this author →KAKEN DB | | OGAWA, Takahiro Browse this author →KAKEN DB | | TAKAHASHI, Sho Browse this author →KAKEN DB | | NOMURA, Shuhei Browse this author | | SHIMOMURA, Masatsugu Browse this author |
| Keywords: | biomimetics | | inter-field collaboration | | visualization-based image retrieval | | scanning electron microphotograph |
| Issue Date: | Aug-2017 |
| Publisher: | IEICE, the Institute of Electronics, Information and Communication Engineers |
| Journal Title: | IEICE Transactions on Information and Systems |
| Volume: | E100.D |
| Issue: | 8 |
| Start Page: | 1563 |
| End Page: | 1573 |
| Publisher DOI: | 10.1587/transinf.2016LOI0001 |
| Abstract: | Biomimetics is a new research field that creates innovation through the collaboration of different existing research fields. However, the collaboration, i.e., the exchange of deep knowledge between different research fields, is difficult for several reasons such as differences in technical terms used in different fields. In order to overcome this problem, we have developed a new retrieval platform, “Biomimetics image retrieval platform," using a visualization-based image retrieval technique. A biological database contains a large volume of image data, and by taking advantage of these image data, we are able to overcome limitations of text-only information retrieval. By realizing such a retrieval platform that does not depend on technical terms, individual biological databases of various species can be integrated. This will allow not only the use of data for the study of various species by researchers in different biological fields but also access for a wide range of researchers in fields ranging from materials science, mechanical engineering and manufacturing. Therefore, our platform provides a new path bridging different fields and will contribute to the development of biomimetics since it can overcome the limitation of the traditional retrieval platform. |
| Rights: | Copyright ©2017 The Institute of Electronics, Information and Communication Engineers |
| Type: | article |
| URI: | http://hdl.handle.net/2115/68484 |
| 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: 小川 貴弘
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