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| Presentation | 2021-09-17 13:00 Identifying Design Problems of Presentation Slides using a Bimodal Neural Network Shengzhou Yi (UTokyo), Junichiro Matsugami (Rubato), Toshihiko Yamasaki (UTokyo)  MVE2021-12 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Although millions of presentation slides are created every day in business and academia, there are only a limited number of support systems that are helpful to assess the slides. In this study, a bimodal neural network, using visual and structural features, is proposed to identify the design problem of presentation slides. For such a purpose, over two thousand slides were collected for training the model. We summarized ten checkpoints, which are common problems in slide design. The dataset faces an imbalanced distribution, because only a small part of the samples had corresponding design problems. To address the class imbalance issue, several sampling methods are applied to improve the prediction performance. Furthermore, we also use transfer and multi-task learning to enhance the bimodal neural network. The optimal combination of these machine-learning methods helps the proposed network achieve an average accuracy of 81.79%. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Presentation Slide / Class Imbalance / Multi-Task Learning / Transfer Learning / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 179, MVE2021-12, pp. 21-26, Sept. 2021. | |
| Paper # | MVE2021-12 | |
| Date of Issue | 2021-09-10 (MVE) | |
| 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 | MVE2021-12 |
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| Conference Information | |
| Committee | MVE |
| Conference Date | 2021-09-17 - 2021-09-18 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | MVE |
| Conference Code | 2021-09-MVE |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Identifying Design Problems of Presentation Slides using a Bimodal Neural Network |
| Sub Title (in English) | |
| Keyword(1) | Presentation Slide |
| Keyword(2) | Class Imbalance |
| Keyword(3) | Multi-Task Learning |
| Keyword(4) | Transfer Learning |
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| 1st Author's Name | Shengzhou Yi |
| 1st Author's Affiliation | The University of Tokyo (UTokyo) |
| 2nd Author's Name | Junichiro Matsugami |
| 2nd Author's Affiliation | Rubato Co., Ltd. (Rubato) |
| 3rd Author's Name | Toshihiko Yamasaki |
| 3rd Author's Affiliation | The University of Tokyo (UTokyo) |
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| Speaker | Author-1 |
| Date Time | 2021-09-17 13:00:00 |
| Presentation Time | 30 minutes |
| Registration for | MVE |
| Paper # | MVE2021-12 |
| Volume (vol) | vol.121 |
| Number (no) | no.179 |
| Page | pp.21-26 |
| #Pages | 6 |
| Date of Issue | 2021-09-10 (MVE) |
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