Presentation | 2006-02-23 Content-based Image Retrieval with Selective Visual Attention Jun SAITO, Hayato YAMANA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Content-based image retrievals(CBIR) have difficulty on concentrated information processing at the point which seems important. This is caused by difficulty on automated selection of "informative" points. As one part of studies of humans or primate brain, selective visual attention has been researched, which model processes for decision of the attentional point of an image before eye movements when the subject is presented an image. To use local information of an image, we propose a CBIR system with the feature vector at the most attentional point of the image. We introduce model of selective attention and application of selective attention for CBIR. We also tested performance of our system. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Selective Visual Attention / Content-based Image Retrieval |
Paper # | TL2005-59,PRMU2005-194 |
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Committee | PRMU |
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Conference Date | 2006/2/16(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Content-based Image Retrieval with Selective Visual Attention |
Sub Title (in English) | |
Keyword(1) | Selective Visual Attention |
Keyword(2) | Content-based Image Retrieval |
1st Author's Name | Jun SAITO |
1st Author's Affiliation | () |
2nd Author's Name | Hayato YAMANA |
2nd Author's Affiliation | Science and Engineering Waseda, University Okubo:National Institute of Informatics |
Date | 2006-02-23 |
Paper # | TL2005-59,PRMU2005-194 |
Volume (vol) | vol.105 |
Number (no) | 614 |
Page | pp.pp.- |
#Pages | 6 |
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