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Paper Abstract and Keywords
Presentation 2018-02-16 09:45
Objective Feedback Generation on Presentation Slide Design using CNN
Shinji Oyama, Toshihiko Yamasaki, Kiyoharu Aizawa (Univ. of Tokyo) ITS2017-77 IE2017-109
Abstract (in Japanese) (See Japanese page) 
(in English) Presentation slides are an effective way to deliver information in various fields. It has become easier to create slides due to the advancement of presentation software such as PowerPoint. However, it is still difficult for novices to design slides that are easy to understand as few slide evaluation methods exist, and we cannot objectively judge the quality of our slides. In this paper, new slide dataset is constructed by collecting 1,000 slides and giving clarity evaluation using ranking method.
In addition, we generate clarity score and heat map which shows areas to be improved as objective feedback by learning the clarity of the slide design using a convolutional neural network. We conducted a user study and confirmed the effectiveness and problems of support for slide improvement by score and heat map.
Keyword (in Japanese) (See Japanese page) 
(in English) slides / dataset / impression prediction / convolutional neural network / user study / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 432, IE2017-109, pp. 223-228, Feb. 2018.
Paper # IE2017-109 
Date of Issue 2018-02-08 (ITS, IE) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 ITS2017-77 IE2017-109

Conference Information
Conference Date 2018-02-15 - 2018-02-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To IE 
Conference Code 2018-02-ITS-IE-MMS-HI-ME-AIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Objective Feedback Generation on Presentation Slide Design using CNN 
Sub Title (in English)  
Keyword(1) slides  
Keyword(2) dataset  
Keyword(3) impression prediction  
Keyword(4) convolutional neural network  
Keyword(5) user study  
1st Author's Name Shinji Oyama  
1st Author's Affiliation The University of Tokyo (Univ. of Tokyo)
2nd Author's Name Toshihiko Yamasaki  
2nd Author's Affiliation The University of Tokyo (Univ. of Tokyo)
3rd Author's Name Kiyoharu Aizawa  
3rd Author's Affiliation The University of Tokyo (Univ. of Tokyo)
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Date Time 2018-02-16 09:45:00 
Presentation Time 15 
Registration for IE 
Paper # IEICE-ITS2017-77,IEICE-IE2017-109 
Volume (vol) IEICE-117 
Number (no) no.431(ITS), no.432(IE) 
Page pp.223-228 
#Pages IEICE-6 
Date of Issue IEICE-ITS-2018-02-08,IEICE-IE-2018-02-08 

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