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| Paper Abstract and Keywords | ||
| Presentation | 2022-03-11 18:20 Impression Estimation Model for Suit Styles Using CNN Features Kimiaki Shinkai (Kwansei Gakuin Univ.), Iori Tani (Kobe Univ.), Kensuke Tobitani (Univ. of Nagasaki), Miyuki Toga, Noriko Nagata (Kwansei Gakuin Univ.)  IMQ2021-69 IE2021-131 MVE2021-98 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this study, propose a method for estimating the impressions evoked by the style (texture and shape) of a suit for the purpose of a bespoke suit (recommendation) service. We collected 3398 images of suits and used Random Forest to model the relationship between the subjective impressions of 25 words assigned by psychological experiments and CNN features (style features and content features) obtained from the images. The correlation coefficients between the subjective impression scores of the untrained data and the estimated impression scores calculated from the CNN features are obtained from the 9-fold cross-validation, and the results show moderately positive values, confirming the effectiveness of the proposed method. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | fashion / suit / CNN / style feature / content feature / impression estimation / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 423, MVE2021-98, pp. 312-317, March 2022. | |
| Paper # | MVE2021-98 | |
| Date of Issue | 2022-03-02 (IMQ, IE, 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 | IMQ2021-69 IE2021-131 MVE2021-98 |
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| Conference Information | |
| Committee | CQ IMQ MVE IE |
| Conference Date | 2022-03-09 - 2022-03-11 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online (Zoom) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Media of five senses, Multimedia, Media experience, Picture codinge, Image media quality, Network,quality and reliability, etc |
| Paper Information | |
| Registration To | MVE |
| Conference Code | 2022-03-CQ-IMQ-MVE-IE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Impression Estimation Model for Suit Styles Using CNN Features |
| Sub Title (in English) | |
| Keyword(1) | fashion |
| Keyword(2) | suit |
| Keyword(3) | CNN |
| Keyword(4) | style feature |
| Keyword(5) | content feature |
| Keyword(6) | impression estimation |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kimiaki Shinkai |
| 1st Author's Affiliation | Kwansei Gakuin University (Kwansei Gakuin Univ.) |
| 2nd Author's Name | Iori Tani |
| 2nd Author's Affiliation | Kobe University (Kobe Univ.) |
| 3rd Author's Name | Kensuke Tobitani |
| 3rd Author's Affiliation | University of Nagasaki (Univ. of Nagasaki) |
| 4th Author's Name | Miyuki Toga |
| 4th Author's Affiliation | Kwansei Gakuin University (Kwansei Gakuin Univ.) |
| 5th Author's Name | Noriko Nagata |
| 5th Author's Affiliation | Kwansei Gakuin University (Kwansei Gakuin Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-03-11 18:20:00 |
| Presentation Time | 25 minutes |
| Registration for | MVE |
| Paper # | IMQ2021-69, IE2021-131, MVE2021-98 |
| Volume (vol) | vol.121 |
| Number (no) | no.420(IMQ), no.422(IE), no.423(MVE) |
| Page | pp.312-317 |
| #Pages | 6 |
| Date of Issue | 2022-03-02 (IMQ, IE, MVE) |
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