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Paper Abstract and Keywords
Presentation 2017-09-21 15:45
Predictions of Effectiveness of Television Advertising with Convolutional Neural Networks
Shunsuke Nakamura (Univ. of Tokyo), Tatsuya Kawahara (VideoResearch), Toshihiko Yamasaki (Univ. of Tokyo) MVE2017-18
Abstract (in Japanese) (See Japanese page) 
(in English) Predicting the recognition rate of television advertising is a critical issue for advertisers, but factors that contribute to the recognition rate are still mysterious. In our preliminary experiments using 11,230 advertising videos and subjective evaluation by about 600 people for each content, we found that gross rating point (GRP), which is one of the most commonly used indicator, has little correlation with the recognition rate (correlation ratio between GRP and the recognition rate was 0.3). In this study, we show that even raw deep feature is more useful and can achieve the correlation value of 0.47.
Keyword (in Japanese) (See Japanese page) 
(in English) deep neural network / television advertising / video feature / video analysis / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 217, MVE2017-18, pp. 21-24, Sept. 2017.
Paper # MVE2017-18 
Date of Issue 2017-09-14 (MVE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 2017-09-21 - 2017-09-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Chiba Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MVE 
Conference Code 2017-09-MVE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Predictions of Effectiveness of Television Advertising with Convolutional Neural Networks 
Sub Title (in English)  
Keyword(1) deep neural network  
Keyword(2) television advertising  
Keyword(3) video feature  
Keyword(4) video analysis  
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1st Author's Name Shunsuke Nakamura  
1st Author's Affiliation The university of Tokyo (Univ. of Tokyo)
2nd Author's Name Tatsuya Kawahara  
2nd Author's Affiliation VideoResearch Ltd. (VideoResearch)
3rd Author's Name Toshihiko Yamasaki  
3rd Author's Affiliation The university of Tokyo (Univ. of Tokyo)
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Speaker Author-1 
Date Time 2017-09-21 15:45:00 
Presentation Time 30 minutes 
Registration for MVE 
Paper # MVE2017-18 
Volume (vol) vol.117 
Number (no) no.217 
Page pp.21-24 
#Pages
Date of Issue 2017-09-14 (MVE) 


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