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Paper Abstract and Keywords
Presentation 2017-03-06 16:35
Improvement of an attractiveness estimation method for food photos considering the appearance of main ingredients
Kazuma Takahashi (Nagoya Univ.), Keisuke Doman (Chukyo Univ.), Yasutomo Kawanishi, Takatsugu Hirayama, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase (Nagoya Univ.) IMQ2016-37 IE2016-152 MVE2016-60
Abstract (in Japanese) (See Japanese page) 
(in English) In our previous research, we proposed a method for estimating the attractiveness of a food photo in order to assist a user to shoot attractive food photos.
In this report, the proposed method extracts image features that reflect the appearance of the main ingredient and the impression of photos, and then integrates them by a regression scheme.
By this way, the proposed method estimates the attractiveness of an arbitrary food photo.
Experimental results showed that the color distribution of food, three-dimensional appearance of food, and the orientation of its ingredients were effective for attractiveness estimation.
Also, we confirmed the effectiveness of integrating image features considering both the impression of photos and the appearance of the main ingredient.
Keyword (in Japanese) (See Japanese page) 
(in English) Food photo / Shooting support / Attractiveness / Shooting angle / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 496, MVE2016-60, pp. 95-100, March 2017.
Paper # MVE2016-60 
Date of Issue 2017-02-27 (IMQ, IE, 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)
Download PDF IMQ2016-37 IE2016-152 MVE2016-60

Conference Information
Committee MVE IE CQ IMQ  
Conference Date 2017-03-06 - 2017-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyusyu Univ. Ohashi Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Five senses media, Multimedia, Virtual Environment, Image encoding, Ultra realistic, Network quality and reliability, Image media quality, etc. 
Paper Information
Registration To MVE 
Conference Code 2017-03-MVE-IE-CQ-IMQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement of an attractiveness estimation method for food photos considering the appearance of main ingredients 
Sub Title (in English)  
Keyword(1) Food photo  
Keyword(2) Shooting support  
Keyword(3) Attractiveness  
Keyword(4) Shooting angle  
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1st Author's Name Kazuma Takahashi  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Keisuke Doman  
2nd Author's Affiliation Chukyo University (Chukyo Univ.)
3rd Author's Name Yasutomo Kawanishi  
3rd Author's Affiliation Nagoya University (Nagoya Univ.)
4th Author's Name Takatsugu Hirayama  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
5th Author's Name Ichiro Ide  
5th Author's Affiliation Nagoya University (Nagoya Univ.)
6th Author's Name Daisuke Deguchi  
6th Author's Affiliation Nagoya University (Nagoya Univ.)
7th Author's Name Hiroshi Murase  
7th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2017-03-06 16:35:00 
Presentation Time 25 minutes 
Registration for MVE 
Paper # IMQ2016-37, IE2016-152, MVE2016-60 
Volume (vol) vol.116 
Number (no) no.494(IMQ), no.495(IE), no.496(MVE) 
Page pp.95-100 
#Pages
Date of Issue 2017-02-27 (IMQ, IE, MVE) 


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