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Paper Abstract and Keywords
Presentation 2013-03-11 14:00
Ingredients Estimation in a Dish by Learning from a Large Number of Recipes with Images
Hiroki Matsunaga, Satoshi Yokoi, Yasuhiro Hayashi (Nagoya Univ.), Keisuke Doman (chukyo Univ.), Ichiro Ide, Daisuke Deguchi, Hiroshi Murase (Nagoya Univ.) IMQ2012-55 IE2012-159 MVE2012-116 WIT2012-65
Abstract (in Japanese) (See Japanese page) 
(in English) In this report, we propose a method for estimating the ingredients contained in the dish in an input
food image. Recently, the number of services that analyzes the preferences of an individual by recording daily meals,
for improving of health, is increasing. Conventional works that try to realize such services, estimate the calorie from
the name of the dish detected from the image. However, in practice, different ingredients may be used in the same
kind of dishes, so only recognizing the type of a dish is insufficient. Therefore, we propose a method for estimating
the ingredients in the dish in an input food image. Since the color and the shape features of an ingredient tend to
appear in a dish, the proposed method extracts image feature from the food image and builds classifiers. As a result
of an evaluation experiments, we confirmed that the performance of the classifier exceeds random classification.
Keyword (in Japanese) (See Japanese page) 
(in English) Food image / Ingredient detection / image feature / / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 474, MVE2012-116, pp. 115-120, March 2013.
Paper # MVE2012-116 
Date of Issue 2013-03-04 (IMQ, IE, MVE, WIT) 
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 IMQ2012-55 IE2012-159 MVE2012-116 WIT2012-65

Conference Information
Committee MVE IE WIT IMQ CQ  
Conference Date 2013-03-11 - 2013-03-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Fukuoka Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Quality of media communication, welfare, and general topics 
Paper Information
Registration To MVE 
Conference Code 2013-03-MVE-IE-WIT-IMQ-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Ingredients Estimation in a Dish by Learning from a Large Number of Recipes with Images 
Sub Title (in English)  
Keyword(1) Food image  
Keyword(2) Ingredient detection  
Keyword(3) image feature  
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1st Author's Name Hiroki Matsunaga  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Satoshi Yokoi  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Yasuhiro Hayashi  
3rd Author's Affiliation Nagoya University (Nagoya Univ.)
4th Author's Name Keisuke Doman  
4th Author's Affiliation Chukyo University (chukyo 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 2013-03-11 14:00:00 
Presentation Time 25 minutes 
Registration for MVE 
Paper # IMQ2012-55, IE2012-159, MVE2012-116, WIT2012-65 
Volume (vol) vol.112 
Number (no) no.472(IMQ), no.473(IE), no.474(MVE), no.475(WIT) 
Page pp.115-120 
#Pages 6 
Date of Issue 2013-03-04 (IMQ, IE, MVE, WIT) 

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