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Presentation 2022-03-07 15:25
[Poster Presentation] A Proposal for Emotion-Expressive Editor:EmoEditor by Font Changing
Yuuki Shimamura, Michiharu Niimi (KIT) EMM2021-100
Abstract (in Japanese) (See Japanese page) 
(in English) Text media is one of important ways in communications on computers. For example, email, LINE or Twitter uses it frequently. In addition, captions in motion pictures are necessity for not only watching foreign cinema/TV but also one who is older or has hearing impairment. In general, a text character is recognized as rendered images on display. Therefore, it is difficult for text to express the emotions we have in writing sentences. In this paper, we propose a method to communicate emotions by changing font image. Firstly, we link a specific font and an emotion, then pair of a font data connected to an emotion and a standard font that is stored in computers is input to deep neural network (DNN) based on GAN, and we train it. An emotion is given to the neural network as a class label data. The input of the DNN is rendered font data. In other words, for the DNN, the input data is a standard font data we usually have with rendered, the output data is a generated rendered font image with emotion reflected. Furthermore, a mixed emotion font is able to be generated by adjusting parameters. We apply this neural network to editor system which is enable us to express emotions, which is called EmoEditor (Emotion-Expressive Editor). Through evaluation experiments, we confirmed the feasibility to communicate an emotion via an electronic media.
Keyword (in Japanese) (See Japanese page) 
(in English) Font / Emotion / Generative adversarial network / Editor / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 417, EMM2021-100, pp. 46-51, March 2022.
Paper # EMM2021-100 
Date of Issue 2022-02-28 (EMM) 
ISSN Online edition: ISSN 2432-6380
Copyright
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reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF EMM2021-100

Conference Information
Committee EMM  
Conference Date 2022-03-07 - 2022-03-08 
Place (in Japanese) (See Japanese page) 
Place (in English) (Primary: Online, Secondary: On-site) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image and Sound Quality, Metrics for Perception and Recognition, Human Auditory and Visual System, etc. 
Paper Information
Registration To EMM 
Conference Code 2022-03-EMM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Proposal for Emotion-Expressive Editor:EmoEditor by Font Changing 
Sub Title (in English)  
Keyword(1) Font  
Keyword(2) Emotion  
Keyword(3) Generative adversarial network  
Keyword(4) Editor  
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1st Author's Name Yuuki Shimamura  
1st Author's Affiliation Kyushu Institute of Technology (KIT)
2nd Author's Name Michiharu Niimi  
2nd Author's Affiliation Kyushu Institute of Technology (KIT)
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Speaker Author-1 
Date Time 2022-03-07 15:25:00 
Presentation Time 15 minutes 
Registration for EMM 
Paper # EMM2021-100 
Volume (vol) vol.121 
Number (no) no.417 
Page pp.46-51 
#Pages
Date of Issue 2022-02-28 (EMM) 


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