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| Presentation | 2021-10-08 11:30 Analysis of Writing Style on Wood Slips of the Chinese Han period Using Deep Generative Model Chiang Meng Yuan, Soh Yoshida, Takao Fujita, Mitsuji Muneyasu (Kansai Univ.)  SIS2021-20 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we develop a method to objectively analyze the calligraphic styles of wood slips excavated in Northwestern China. In this paper, we propose a method to quantify the degree of collapse of the Chinese characters by measuring the degree of dissociation using a deep generative model. Specifically, we introduce the Anomaly detection Generative Adversarial Network (AnoGAN), which is trained by normal data and judges abnormal data based on the reconstruction error when the other data is input. First, we train the GAN using an image of a character written in Clerical-Script calligraphy as training data. Next, we calculate the anomaly value of the characters based on the difference between the Cursive-Script calligraphy characters and the generated character images, and then calculate the degree of collapse. In our experiments, we created datasets consisting of wooden slips from the Han Period and showed that the proposed method can quantify the degree of misalignment between Clerical-Script of neat font and Cursive-Script of scrawl font. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | wood slips / writing style analysis / Generative Adversarial Network / anomaly detection / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 190, SIS2021-20, pp. 54-59, Oct. 2021. | |
| Paper # | SIS2021-20 | |
| Date of Issue | 2021-09-30 (SIS) | |
| 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 | SIS2021-20 |
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| Conference Information | |
| Committee | SIS ITE-BCT |
| Conference Date | 2021-10-07 - 2021-10-08 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | System Implementation Technology, Short Range Wireless Systems, Smart Multimedia Systems, Broadcasting Technology, etc. |
| Paper Information | |
| Registration To | SIS |
| Conference Code | 2021-10-SIS-BCT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Analysis of Writing Style on Wood Slips of the Chinese Han period Using Deep Generative Model |
| Sub Title (in English) | |
| Keyword(1) | wood slips |
| Keyword(2) | writing style analysis |
| Keyword(3) | Generative Adversarial Network |
| Keyword(4) | anomaly detection |
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| 1st Author's Name | Chiang Meng Yuan |
| 1st Author's Affiliation | Kansai University (Kansai Univ.) |
| 2nd Author's Name | Soh Yoshida |
| 2nd Author's Affiliation | Kansai University (Kansai Univ.) |
| 3rd Author's Name | Takao Fujita |
| 3rd Author's Affiliation | Kansai University (Kansai Univ.) |
| 4th Author's Name | Mitsuji Muneyasu |
| 4th Author's Affiliation | Kansai University (Kansai Univ.) |
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| Speaker | Author-1 |
| Date Time | 2021-10-08 11:30:00 |
| Presentation Time | 20 minutes |
| Registration for | SIS |
| Paper # | SIS2021-20 |
| Volume (vol) | vol.121 |
| Number (no) | no.190 |
| Page | pp.54-59 |
| #Pages | 6 |
| Date of Issue | 2021-09-30 (SIS) |
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