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Paper Abstract and Keywords
Presentation
Sketch-based Manga Retrieval
Yusuke Matsui, Kiyoharu Aizawa, Yushi Jing (The Univ. of Tokyo)
Abstract (in Japanese) (See Japanese page) 
(in English) We propose a sketch-based method for manga image retrieval, in which users draw sketches via a Web browser that enables the automatic retrieval of similar images from a database of manga titles. The characteristics of manga images are different from those of naturalistic images. Despite the widespread attention given to content-based image retrieval systems, the question of how to retrieve manga images effectively has been little studied. We propose a fine multi-scale edge orientation histogram (FMEOH) whereby a number of differently sized squares on a page can be indexed efficiently. Our experimental results show that FMEOH can achieve greater accuracy than a state-of-the-art sketch-based retrieval method.
Keyword (in Japanese) (See Japanese page) 
(in English) Sketch / Manga / Image retrieval / / / / /  
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Conference Information
Committee HCGSYMPO  
Conference Date 2014-12-17 - 2014-12-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Kaikyo Messe Shimonoseki 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Human communication, etc. 
Paper Information
Registration To HCGSYMPO 
Conference Code 2014-12-HCGSYMPO 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Sketch-based Manga Retrieval 
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Keyword(1) Sketch  
Keyword(2) Manga  
Keyword(3) Image retrieval  
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1st Author's Name Yusuke Matsui  
1st Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
2nd Author's Name Kiyoharu Aizawa  
2nd Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
3rd Author's Name Yushi Jing  
3rd Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
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