Presentation 2011-07-01
Similarity-based Image Retrieval considering Color of Artifacts by Self-Organizing Map with Refractoriness
Minato KOBAYASHI, Yuko OSANA,
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Abstract(in English) In this report, we propose a similarity-based image retrieval considering color and position of artifacts by self-organizing map with refractoriness. In the self-organizing map with refractoriness, the plural neurons in the map layer corresponding to the input can fire sequentially because of the refractoriness. The proposed system makes use of this property in order to retrieve plural similar images. In the proposed system, the retrieval considering (1) position of artifacts, (2) areas without artifacts and (3) color and position of artifacts can be realized. We carried out a series of computer experiments and confirmed that the proposed system can retrieve similar images considering color of artifacts from not only stored images but also unknown images.
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Keyword(in English) Similarity-based Image Retrieval / Self-Organizing Map / Refractoriness / Artifacts
Paper # NLP2011-39
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Conference Information
Committee NLP
Conference Date 2011/6/23(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Similarity-based Image Retrieval considering Color of Artifacts by Self-Organizing Map with Refractoriness
Sub Title (in English)
Keyword(1) Similarity-based Image Retrieval
Keyword(2) Self-Organizing Map
Keyword(3) Refractoriness
Keyword(4) Artifacts
1st Author's Name Minato KOBAYASHI
1st Author's Affiliation Graduate School of Bionics, Computer and Media Sciences, Tokyo University of Technology()
2nd Author's Name Yuko OSANA
2nd Author's Affiliation Graduate School of Bionics, Computer and Media Sciences, Tokyo University of Technology
Date 2011-07-01
Paper # NLP2011-39
Volume (vol) vol.111
Number (no) 106
Page pp.pp.-
#Pages 6
Date of Issue