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Paper Abstract and Keywords
Presentation 2016-10-13 17:10
Accuracy improvement of food photo attractiveness estimation based on consideration of image features
Kazuma Takahashi (Nagoya Univ.), Keisuke Doman (Chukyo Univ.), Yasutomo Kawanishi, Takatsugu Hirayama, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase (Nagoya Univ.) MVE2016-12
Abstract (in Japanese) (See Japanese page) 
(in English) In our previous research, we proposed a method for predicting the attractiveness of a food photo in order to assist a user to shoot attractive food photos.
In this report, we consider applying different image features; 1) Deep Convolutional Activation Feature (DeCAF) extracted from a convolutional Neural Network, and 2) improvement of the extraction region for color and shape features.
We also investigated the capability of the proposed method in estimating attractiveness within untrained food categories.
Experimental results show that the accuracy of the attractiveness estimation was improved by training with food samples that looked similar to the testing one, which suggested the importance of an adaptive estimator selection based on food appearance.
Keyword (in Japanese) (See Japanese page) 
(in English) Food photo / Shooting support / Attractiveness / Shooting angle / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 245, MVE2016-12, pp. 41-46, Oct. 2016.
Paper # MVE2016-12 
Date of Issue 2016-10-06 (MVE) 
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 MVE2016-12

Conference Information
Committee MVE  
Conference Date 2016-10-13 - 2016-10-14 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MVE 
Conference Code 2016-10-MVE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Accuracy improvement of food photo attractiveness estimation based on consideration of image features 
Sub Title (in English)  
Keyword(1) Food photo  
Keyword(2) Shooting support  
Keyword(3) Attractiveness  
Keyword(4) Shooting angle  
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Keyword(6)  
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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 2016-10-13 17:10:00 
Presentation Time 25 minutes 
Registration for MVE 
Paper # MVE2016-12 
Volume (vol) vol.116 
Number (no) no.245 
Page pp.41-46 
#Pages 6 
Date of Issue 2016-10-06 (MVE) 

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