Presentation 2006-02-23
Content-based Image Retrieval with Selective Visual Attention
Jun SAITO, Hayato YAMANA,
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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.
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Keyword(in English) Selective Visual Attention / Content-based Image Retrieval
Paper # TL2005-59,PRMU2005-194
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Conference Information
Committee PRMU
Conference Date 2006/2/16(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
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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