IEICE Technical Committee Submission System
Conference Schedule
Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (Searched in: All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 41  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] 2024-02-19
14:00
Hokkaido Hokkaido Univ. Image Recognition-Based Ingredients Input Support for Food Nutrition Calculation
Liangyu Wang, Yoko Yamakata, Kiyoharu Aizawa (UTokyo) ITS2023-54 IE2023-43
Contemporary nutrition tracking applications often rely on standard nutrient databases, overlooking the specific ingredi... [more] ITS2023-54 IE2023-43
pp.46-49
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
13:15
Hokkaido Hokkaido Univ. Constructing an ingredient classification model for automatic calculation of nutritional value and environmental impact from user-generated recipes
Yoko Yamakata, Liangyu Wang (UTokyo), Eiji Yamasue (Rits), Akiko Sunto (KUHS), Kiyoharu Aizawa (UTokyo) ITS2022-48 IE2022-65
In order to calculate rough nutritional values from recipes, this paper proposes a method to link the list of ingredient... [more] ITS2022-48 IE2022-65
pp.29-34
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
13:30
Hokkaido Hokkaido Univ. Semi-automatic dataset construction from user-generated recipes for image recognition based dietary assessment
Liangyu Wang, Yoko Yamakata (Utokyo), Akiko Sunto (Kanagawa Univ. of Human Services), Kiyoharu Aizawa (Utokyo) ITS2022-49 IE2022-66
 [more] ITS2022-49 IE2022-66
pp.35-40
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
13:45
Hokkaido Hokkaido Univ. Automatic generation of eating order reports from first-person eating videos
Kenshiro Sato, Yoko Yamakata, Kiyoharu Aizawa (UTokyo) ITS2022-50 IE2022-67
By automatically generating meal reports used by dietitians for dietary guidance from video footage of meals recorded by... [more] ITS2022-50 IE2022-67
pp.41-46
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
14:00
Hokkaido Hokkaido Univ. Prediction of mental state from food images
Kei Nakamoto (The Univ. of Tokyo), Sosuke Amano (foo.log), Hiroaki Karasawa (Hongo Software Development), Yoko Yamakata, Kiyoharu Aizawa (The Univ. of Tokyo) ITS2022-51 IE2022-68
 [more] ITS2022-51 IE2022-68
pp.47-52
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-21
11:00
Online Online RecipeLog: Input interface for multimedia recipes with structured instructions
Akihisa Ishino, Yoko Yamakata (UTokyo), Hiroaki Karasawa (HSD), Sousuke Amano (foo.log), Kiyoharu Aizawa (UTokyo)
 [more]
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-21
11:15
Online Online Datasets construction of first-person video capturing eating behavior toward automatic eat logging system
Kenshiro Sato (UTokyo), Sosuke Amano (foo.log), Yoko Yamakata, Aizawa Kiyoharu (UTokyo)
 [more]
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-22
11:10
Online Online Enhancing Personalized Food Image Classifier by Visual Attention and Class-Dependent Weighting
Seum Kim, Yoko Yamakata, Kiyoharu Aizawa (UTokyo) ITS2021-47 IE2021-56
In a real-world setting, food records are very noisy and strongly imbalanced. Besides, inter-class similarity and intra-... [more] ITS2021-47 IE2021-56
pp.133-138
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-22
13:15
Online Online Noise-Resistant Learning for Object Detection
Jiafeng Mao, Qing Yu, Yoko Yamakata, Kiyoharu Aizawa (UTokyo) ITS2021-52 IE2021-61
Supervised training of object detectors requires well-annotated large-scale datasets, whose production is extremely expe... [more] ITS2021-52 IE2021-61
pp.163-166
LOIS, EMM, IE, IEE-CMN, ITE-ME, IPSJ-AVM [detail] 2020-09-02
09:55
Online Online A survey of the effects of long-term refraining from going out on subjective health by analyzing food records
Akihisa Ishino, Hiroaki Karasawa, Sosuke Amano, Yoko Yamakata, Kiyoharu Aizawa (UTokyo) LOIS2020-10 IE2020-22 EMM2020-34
 [more] LOIS2020-10 IE2020-22 EMM2020-34
pp.31-36
LOIS 2020-03-12
09:50
Okinawa Nobumoto Ohama Memorial Hall
(Cancelled but technical report was issued)
Analysis of meal records for understanding eating habits using large-scale recipe dataset
Miyuki Kawarada, Hiroaki Karasawa (UT), Misako Sakamoto (DAH), Sosuke Amano (foo.log), Yoko Yamakata, Kiyoharu Aizawa (UT) LOIS2019-70
Nutrition management is very important for athletes, but difficult for amateur athletes who are not supervised by a diet... [more] LOIS2019-70
pp.79-84
LOIS, IPSJ-DC 2019-07-17
14:00
Ibaraki Center for Computational Sciences, University of Tsukuba Athlete diet analysis based on large scale recipe data and text-based diet records
Miyuki Kawarada, Hiroaki Karasawa (UT), Misako Sakamoto (DAH), Sosuke Amano (foo.log), Yoko Yamakata, Kiyoharu Aizawa (UT) LOIS2019-2
For athletes, food management is very important for improving performance and maintaining the condition. However, it is ... [more] LOIS2019-2
pp.1-6
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2019-02-19
16:00
Hokkaido Hokkaido Univ. A Study on Vectorizing Diet Preferences based on Large Foodlogging Data and DNN model
Yuji Goda (UTokyo), Sosuke Amano (foo.log Inc.), Yoko Yamakata, Kiyoharu Aizawa (UTokyo)
In usual dietary management, dieticians use the food logs to see one’s wellness. However, this method is not handy for o... [more]
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2018-02-15
13:15
Hokkaido Hokkaido Univ. Prediction and Evaluation of Long-Term Food Records Using Short-Term Food Records
Akihiro Tsubakida, Sosuke Amano, Yoko Yamakata, Kiyoharu Aizawa (UTokyo), Makoto Ogawa (foo.log Inc)
In order to maintain and improve health, it is very important to grasp one's eating habits in his/her everyday life. How... [more]
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2018-02-15
13:30
Hokkaido Hokkaido Univ. Meal Image Recognition for Supporting Athletes
Masashi Anzawa, Sosuke Amano, Yoko Yamakata (UT), Keiko Motonaga, Akiko Kamei (JISS), Kiyoharu Aizawa (UT)
 [more]
DE, CEA, IPSJ-DBS 2017-12-22
17:50
Tokyo National Institute of Informatics Flow-graph extraction from procedural text of cooking recipe in English
Yoko Yamakata (Univ. Tokyo), Hirokuni Maeta (Cybozu, Inc.), Shinsuke Mori (Kyoto Univ.), John Carroll (Univ. Sussex) DE2017-29
 [more] DE2017-29
pp.41-46
DE, CEA 2016-12-01
09:55
Tokyo   Automatic Dictionary Construction of Japanese Cooking Terminology using Cooking Recipe Dataset -- On Calculating Word Distributional Similarity based on Processing History --
Yoko Yamakata (The Univ. of Tokyo), Hidetsugu Nanba (Hiroshima City Univ.), Tomoko Ohsuga (NII), Jun Harashima (Cookpad Inc.), Yasuhiro Tajima (Okayama Pref. Univ.), Shinsuke Mori (Kyoto Univ.), Keizo Oyama (NII) DE2016-23
 [more] DE2016-23
pp.13-18
DE 2015-09-25
17:20
Kanagawa   Utilization of workflow extracted from procedural text of cooking recipe
Yoko Yamakata, Takuya Kadowaki, Tetsuro Sasada (Kyoto Univ.), Shinji Imahori (Chuo Univ.), Shinsuke Mori (Kyoto Univ.) DE2015-34
 [more] DE2015-34
pp.83-88
HCGSYMPO
(2nd)
2014-12-17
- 2014-12-19
Yamaguchi Kaikyo Messe Shimonoseki Action name ontology derived from procedural structure mapping between the recipes with the same food category
Yoko Yamakata (Kyoto Univ.), Shinji Imahori (Nagoya Univ.), Tetsuro Sasada, Shinsuke Mori (Kyoto Univ.)
(To be available after the conference date) [more]
DE 2014-09-10
13:50
Tokyo NII、12F Room1208, 1210 Recipe Situational Search Using Blog Data -- Discovery of Situational Determinant in Recipe --
Takuya Kadowaki, Yoko Yamakata, Katsumi Tanaka (Kyoto Univ.) DE2014-25
In this study, we propose the method which discovers situational determinant in recipe and searches recipes suitable for... [more] DE2014-25
pp.13-18
 Results 1 - 20 of 41  /  [Next]  
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
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)


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan