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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 |
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| 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 | |
| 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 | PRMU2022-116 IBISML2022-123 |
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| Conference Information | |
| Committee | PRMU IBISML IPSJ-CVIM |
| 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 |
| Keyword(7) | |
| Keyword(8) | |
| 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 |
| #Pages | 6 |
| Date of Issue | 2023-02-23 (PRMU, IBISML) |
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