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Paper Abstract and Keywords
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
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 Print edition: ISSN 0913-5685  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)
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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
Date Time 2021-09-17 13:00:00 
Presentation Time 30 
Registration for MVE 
Paper # IEICE-MVE2021-12 
Volume (vol) IEICE-121 
Number (no) no.179 
Page pp.21-26 
#Pages IEICE-6 
Date of Issue IEICE-MVE-2021-09-10 


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