Presentation 2014-01-24
Influence of Feature Detector for Visual Concept Similarity Index
Shogo NAKAYAMA, Yasuhiro INAZUMI, Yoshikazu KAWAYOKE, Yuukou HORITA,
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Abstract(in English) Recently, various feature extraction methods have been proposed. In this paper, we focus on the feature extraction methods of the Visual Concept Similarity Index (ViCSi) which calculates similarity of the two images based on the histogram of the feature quantity. In this method, we will confirm that considering the number of features and feature quantity is effective.
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Keyword(in English) Feature Detector / Visual Concept Similarity Index / Image Quality Assessment
Paper # CQ2013-82
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Committee CQ
Conference Date 2014/1/17(1days)
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Registration To Communication Quality (CQ)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Influence of Feature Detector for Visual Concept Similarity Index
Sub Title (in English)
Keyword(1) Feature Detector
Keyword(2) Visual Concept Similarity Index
Keyword(3) Image Quality Assessment
1st Author's Name Shogo NAKAYAMA
1st Author's Affiliation Faculty of Engineering, University of Toyama()
2nd Author's Name Yasuhiro INAZUMI
2nd Author's Affiliation Graduate School of Science and Engineering for Education, University of Toyama
3rd Author's Name Yoshikazu KAWAYOKE
3rd Author's Affiliation Department of Electronics Engineering and Computer Science, Ishikawa National College of Technology
4th Author's Name Yuukou HORITA
4th Author's Affiliation Graduate School of Science and Engineering for Education, University of Toyama
Date 2014-01-24
Paper # CQ2013-82
Volume (vol) vol.113
Number (no) 405
Page pp.pp.-
#Pages 4
Date of Issue