Presentation 2014-09-01
Visualization of Illustrations based on Drawing Style Similarity of Authors
Daiki MATSUMOTO, Yusuke MATSUI, Toshihiko YAMASAKI, Kiyoharu AIZAWA, Takanori KATAGIRI,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Illustration is a common way of communication. A lot of illustrations are uploaded, shared and viewed on illustration-sharing SNSs such as pixiv. However, how to retrieve and display illustrations has received relatively sparse attention. We propose a method of visualizing illustrations based on drawing style similarity of authors. By using this method, users can see illustrations which have similar drawing styles to their favorite one at a time and enjoy seeing illustrations more efficiently and effectively in illustration-sharing SNSs.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) illustration / visualization / machine learning
Paper # PRMU2014-41,IBISML2014-22
Date of Issue

Conference Information
Committee PRMU
Conference Date 2014/8/25(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Visualization of Illustrations based on Drawing Style Similarity of Authors
Sub Title (in English)
Keyword(1) illustration
Keyword(2) visualization
Keyword(3) machine learning
1st Author's Name Daiki MATSUMOTO
1st Author's Affiliation Department of Information and Communication Engineering, The University of Tokyo()
2nd Author's Name Yusuke MATSUI
2nd Author's Affiliation Department of Information and Communication Engineering, The University of Tokyo
3rd Author's Name Toshihiko YAMASAKI
3rd Author's Affiliation Department of Information and Communication Engineering, The University of Tokyo
4th Author's Name Kiyoharu AIZAWA
4th Author's Affiliation Department of Information and Communication Engineering, The University of Tokyo
5th Author's Name Takanori KATAGIRI
5th Author's Affiliation pixiv Inc.
Date 2014-09-01
Paper # PRMU2014-41,IBISML2014-22
Volume (vol) vol.114
Number (no) 197
Page pp.pp.-
#Pages 6
Date of Issue