Presentation 2008-02-19
Near Duplicated Image Detection by Learning with Difference Vector to Original Image
Toshiyuki SANO, Gou HOSOYA, Hideki YAGI, Shigeichi HIRASAWA,
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Abstract(in English) In this paper, a new pre-trained detection scheme for near-duplicated images is proposed. By using the assumption that the difference vectors between the original image and its near-duplicated image form altered or non-altered spaces independent of the original images. With pre-trained results, we regard features with large values in the difference vectors as the affected features by alteration. To avoid mis-detection, the proposed method codenses similar features together. The proposed method is valid for the original images without pre-training. We show by simulation results that the precision of the proposed method is larger than that of the conventional ones.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) near-duplicated image detection / content-based image retrieval (CBIR) / copyright protection / pre-trained / feature selection / condensed feature
Paper # ITS2007-62,IE2007-245
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Committee ITS
Conference Date 2008/2/12(1days)
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Paper Information
Registration To Intelligent Transport Systems Technology (ITS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Near Duplicated Image Detection by Learning with Difference Vector to Original Image
Sub Title (in English)
Keyword(1) near-duplicated image detection
Keyword(2) content-based image retrieval (CBIR)
Keyword(3) copyright protection
Keyword(4) pre-trained
Keyword(5) feature selection
Keyword(6) condensed feature
1st Author's Name Toshiyuki SANO
1st Author's Affiliation Department of Industrial and Management Systems Engineering, Major in Science and Engineering, Waseda University()
2nd Author's Name Gou HOSOYA
2nd Author's Affiliation Department of Industrial and Management Systems Engineering, Major in Science and Engineering, Waseda University
3rd Author's Name Hideki YAGI
3rd Author's Affiliation Media Network Center, Waseda University
4th Author's Name Shigeichi HIRASAWA
4th Author's Affiliation Department of Industrial and Management Systems Engineering, Major in Science and Engineering, Waseda University
Date 2008-02-19
Paper # ITS2007-62,IE2007-245
Volume (vol) vol.107
Number (no) 487
Page pp.pp.-
#Pages 6
Date of Issue