Paper Abstract and Keywords |
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 and 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) |
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Font |
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Emotion |
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Generative adversarial network |
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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 |
6 |
Date of Issue |
2022-02-28 (EMM) |
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