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| Presentation | 2022-07-08 15:55 Answers regarding impressions and estimating texture evaluation using machine learning Yuzuki Omote (Seikei Graduate School), Kenji Sugiyama, Takashi Yamazoe (Seikei Univ.)  IMQ2022-10 HIP2022-41 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Material impression is always using subjective evaluation, because impression is based on our psychophysical sensation. However, psychophysical sensation is often met hard to express by numerical scale like a method of magnitude estimation. Most of our psychophysical sensation is strongly connected linguistic expression. Therefore, numerical scale evaluation always involving repeated trials with several items for evaluation precision. On the other hand, this evaluation method required taking long time and it increase participant fatigue. In this study, authors tried to reduce participants fatigue and time required using BERT as a linguistic machine learning estimation. Participants were evaluated material appearance of stimuli used sentence expression and seven-point scaled evaluation. Answers of sentence expression were analyzed by BERT. In this paper, authors reported analysis of BERT results. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Impression evaluation / Machine learning / Natural languageprocessing / BERT / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 100, IMQ2022-10, pp. 31-36, July 2022. | |
| Paper # | IMQ2022-10 | |
| Date of Issue | 2022-07-01 (IMQ, HIP) | |
| 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 | IMQ2022-10 HIP2022-41 |
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| Conference Information | |
| Committee | IMQ HIP |
| Conference Date | 2022-07-08 - 2022-07-08 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Satellite Campus, Sapporo City University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Image Media Quality and Human Information Processing |
| Paper Information | |
| Registration To | IMQ |
| Conference Code | 2022-07-IMQ-HIP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Answers regarding impressions and estimating texture evaluation using machine learning |
| Sub Title (in English) | |
| Keyword(1) | Impression evaluation |
| Keyword(2) | Machine learning |
| Keyword(3) | Natural languageprocessing |
| Keyword(4) | BERT |
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| 1st Author's Name | Yuzuki Omote |
| 1st Author's Affiliation | Seikei University Graduate School (Seikei Graduate School) |
| 2nd Author's Name | Kenji Sugiyama |
| 2nd Author's Affiliation | Seikei University (Seikei Univ.) |
| 3rd Author's Name | Takashi Yamazoe |
| 3rd Author's Affiliation | Seikei University (Seikei Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-07-08 15:55:00 |
| Presentation Time | 25 minutes |
| Registration for | IMQ |
| Paper # | IMQ2022-10, HIP2022-41 |
| Volume (vol) | vol.122 |
| Number (no) | no.100(IMQ), no.101(HIP) |
| Page | pp.31-36 |
| #Pages | 6 |
| Date of Issue | 2022-07-01 (IMQ, HIP) |
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