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Paper Abstract and Keywords
Presentation 2023-03-03 16:10
Analysis of TV commercial favorability by scene labeling and XAI
Kanta Fukuyori, Kunio Matsui (Knazawa Inst.Tech.), Koh Tatsumoto (TOKYO KIKAKU CO.,Ltd.) PRMU2022-116 IBISML2022-123
Abstract (in Japanese) (See Japanese page) 
(in English) A large amount of money (6 trillion yen) is spent every year to produce TV commercials that advertise companies and their products. However, the question of what kind of commercials will gain the viewers' favorable impression is still an unresolved issue, even in today's big data society. Therefore, in this study, we will analyze what kind of objects and actions are attributed to the likability of commercials. The method used in this study is to divide commercials into scenes based on cut-point detection, and to label the divided scenes using an object detection and motion recognition model developed specifically for video advertisements. The labeling results and liking data are then analyzed using XAI to provide information that is useful for commercial production.
Keyword (in Japanese) (See Japanese page) 
(in English) TV commercial / Cut detection / Object Detection / Motion recognition / Data science / XAI / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 404, PRMU2022-116, pp. 305-310, March 2023.
Paper # PRMU2022-116 
Date of Issue 2023-02-23 (PRMU, IBISML) 
ISSN 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 PRMU2022-116 IBISML2022-123

Conference Information
Conference Date 2023-03-02 - 2023-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Future University Hakodate 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2023-03-PRMU-IBISML-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of TV commercial favorability by scene labeling and XAI 
Sub Title (in English)  
Keyword(1) TV commercial  
Keyword(2) Cut detection  
Keyword(3) Object Detection  
Keyword(4) Motion recognition  
Keyword(5) Data science  
Keyword(6) XAI  
1st Author's Name Kanta Fukuyori  
1st Author's Affiliation Kanazawa Institute of Technology (Knazawa Inst.Tech.)
2nd Author's Name Kunio Matsui  
2nd Author's Affiliation Kanazawa Institute of Technology (Knazawa Inst.Tech.)
3rd Author's Name Koh Tatsumoto  
3rd Author's Affiliation TOKYO KIKAKU CO.,Ltd. (TOKYO KIKAKU CO.,Ltd.)
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Speaker Author-1 
Date Time 2023-03-03 16:10:00 
Presentation Time 10 minutes 
Registration for PRMU 
Paper # PRMU2022-116, IBISML2022-123 
Volume (vol) vol.122 
Number (no) no.404(PRMU), no.405(IBISML) 
Page pp.305-310 
Date of Issue 2023-02-23 (PRMU, IBISML) 

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