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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Feature Detector / Visual Concept Similarity Index / Image Quality Assessment |
Paper # | CQ2013-82 |
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Committee | CQ |
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Conference Date | 2014/1/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Communication Quality (CQ) |
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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 |
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