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Paper Abstract and Keywords
Presentation 2017-10-12 10:30
Extracting photographic subjects with deep learning and automatically select to best composition
Soma Nagadome, Shigeki Aoki, Takao Miyamoto (Osaka Pref. Univ.) PRMU2017-65
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, opportunities for taking pictures are increasing, but many people are difficult to take pictures beautifully.
There are extracting photographic subjects and matching composition in existing methods. However, since this method can't estimate induced pictures, it is not necessarily that photographic subjects are taken beautifully for mixed different photographic subjects and background. In this paper, we propose a method to extract photographic subjects from moving images with deep learning and automatically select pictures taken at best composition based on size or position of photographic subjects.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep-learning / Extracting subjects / Pictures / Composition / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 238, PRMU2017-65, pp. 13-18, Oct. 2017.
Paper # PRMU2017-65 
Date of Issue 2017-10-05 (PRMU) 
ISSN Print edition: ISSN 0913-5685    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 PRMU2017-65

Conference Information
Committee PRMU  
Conference Date 2017-10-12 - 2017-10-13 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2017-10-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Extracting photographic subjects with deep learning and automatically select to best composition 
Sub Title (in English)  
Keyword(1) Deep-learning  
Keyword(2) Extracting subjects  
Keyword(3) Pictures  
Keyword(4) Composition  
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1st Author's Name Soma Nagadome  
1st Author's Affiliation Osaka Prefecture University (Osaka Pref. Univ.)
2nd Author's Name Shigeki Aoki  
2nd Author's Affiliation Osaka Prefecture University (Osaka Pref. Univ.)
3rd Author's Name Takao Miyamoto  
3rd Author's Affiliation Osaka Prefecture University (Osaka Pref. Univ.)
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Speaker Author-1 
Date Time 2017-10-12 10:30:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2017-65 
Volume (vol) vol.117 
Number (no) no.238 
Page pp.13-18 
#Pages 6 
Date of Issue 2017-10-05 (PRMU) 

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