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Paper Abstract and Keywords
Presentation 2024-03-15 15:50
A Study on Bento Image Scale Estimation by using Sizes of Multiple Ingredients
Marika Watanabe (Nagoya Univ.), Haruya Kyutoku (Aichi Univ. of Tech.), Keisuke Doman (Chukyo Univ.), Takahiro Komamizu, Ichiro Ide (Nagoya Univ.) IMQ2023-74 IE2023-129 MVE2023-103
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, due to growing health awareness, there has been an increasing demand for meal management. Automated estimation of meal quantities from food images is crucial for supporting easy meal management. This report focuses on textit{bento} images and proposes two methods for estimating image scale based on ingredient sizes; a normal distribution-based method and a regression-based method. The former estimates the image scale by integrating multiple normal distributions that the actual sizes of each reference ingredient follows a normal distribution, while the latter utilizes a random-forest regressor to estimate the image scale based on the sizes of reference ingredients. Experimental results on a newly created textit{bento} image dataset showed that the regression-based method outperformed the normal distribution-based method, and that the estimation accuracy increased as reference ingredients increased.
Keyword (in Japanese) (See Japanese page) 
(in English) Food image / ingredient / estimation of image scale / image recognition / food recording / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 433, MVE2023-103, pp. 330-335, March 2024.
Paper # MVE2023-103 
Date of Issue 2024-03-06 (IMQ, IE, MVE) 
ISSN 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 IMQ2023-74 IE2023-129 MVE2023-103

Conference Information
Committee IE MVE CQ IMQ  
Conference Date 2024-03-13 - 2024-03-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Sangyo Shien Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Media of five senses, Multimedia, Media experience, Picture codinge, Image media quality, Network,quality and reliability, etc（AC） 
Paper Information
Registration To MVE 
Conference Code 2024-03-IE-MVE-CQ-IMQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Bento Image Scale Estimation by using Sizes of Multiple Ingredients 
Sub Title (in English)  
Keyword(1) Food image  
Keyword(2) ingredient  
Keyword(3) estimation of image scale  
Keyword(4) image recognition  
Keyword(5) food recording  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Marika Watanabe  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Haruya Kyutoku  
2nd Author's Affiliation Aichi University of Technology (Aichi Univ. of Tech.)
3rd Author's Name Keisuke Doman  
3rd Author's Affiliation Chukyo University (Chukyo Univ.)
4th Author's Name Takahiro Komamizu  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
5th Author's Name Ichiro Ide  
5th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2024-03-15 15:50:00 
Presentation Time 20 minutes 
Registration for MVE 
Paper # IMQ2023-74, IE2023-129, MVE2023-103 
Volume (vol) vol.123 
Number (no) no.430(IMQ), no.432(IE), no.433(MVE) 
Page pp.330-335 
#Pages 6 
Date of Issue 2024-03-06 (IMQ, IE, MVE) 

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