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  (All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 21  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
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]
DE 2017-06-23
13:40
Tokyo   Analyzing trend of foods using multidomain data
Masashi Anzawa, Sosuke Amano, Kiyoharu Aizawa (Univ. of Tokyo), Makoto Ogawa (foo.log), Shin'ichi Satou (NII) DE2017-2
People's diet is influenced variously such as social and cultural factors. the trend of meal changes by TV and SNS besid... [more] DE2017-2
pp.7-10
PRMU, CNR 2017-02-19
10:45
Hokkaido   Incremental Personalization of Image Classifiers
Shota Horiguchi, Sosuke Amano, Kiyoharu Aizawa (UTokyo), Makoto Ogawa (foo.log) PRMU2016-178 CNR2016-45
(To be available after the conference date) [more] PRMU2016-178 CNR2016-45
pp.149-154
DE, CEA 2016-12-01
09:30
Tokyo   Associative Food Search Triggered by User Feedback to Food Image Recognition
Sosuke Amano (Tokyo Univ./foo.log), Kiyoharu Aizawa (Tokyo Univ.), Kazuki Maeda, Masanori Kubota, Makoto Ogawa (foo.log) DE2016-22
Food diaries or diet journals are thought to be effective for improving the dietary lives of users. In this paper, we pr... [more] DE2016-22
pp.7-12
ITS, IE, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2016-02-23
09:45
Hokkaido Hokkaido Univ. General Food Recognition Based on Hierarchical Deep Learning with Metadata
Hokuto Kagaya, Kiyoharu Aizawa (UTokyo), Makoto Ogawa (foo.log) ITS2015-74 IE2015-116
Food image analysis is one of the key technology to record everyday meal automatically. FoodLog, the system we have been... [more] ITS2015-74 IE2015-116
pp.229-234
DE 2015-09-25
15:10
Kanagawa   A Study on Hierarchical Food Classification
Hokuto Kagaya, Shota Horiguchi (The Univ. of Tokyo), Sosuke Amano (foo.log), Kiyoharu Aizawa (The Univ. of Tokyo), Makoto Ogawa (foo.log) DE2015-30
Automatic food recognition or classification is very challenging task. One of the reason is that the number of food item... [more] DE2015-30
pp.59-64
PRMU, BioX 2015-03-19
17:10
Kanagawa   Log-normal distribution of objects' size in images and its applications to object detection -- Comparing general images and food images --
Shota Horiguchi, Kiyoharu Aizawa (UTokyo), Makoto Ogawa (foo.log) BioX2014-61 PRMU2014-181
When detecting objects in images by which classifying many location hypotheses, it is necessary to define aspect ratio a... [more] BioX2014-61 PRMU2014-181
pp.135-140
PRMU, BioX 2015-03-20
14:30
Kanagawa   Food Image Retrieval Using Distribution of Food Item Positions in An Image
Yukihiro Takamatsu, Kiyoharu Aizawa (Univ. of Tokyo), Makoto Ogawa (foo.log Inc.) BioX2014-74 PRMU2014-194
We made publicly available a smartphone application, in iOS and Android, named FoodLog for personal food recording purpo... [more] BioX2014-74 PRMU2014-194
pp.211-215
CQ, IMQ, MVE, IE
(Joint) [detail]
2015-03-03
15:10
Tokyo Seikei Univ. Prediction of personal dietary habits based on summarized expressions of meal names
Ryota Komiyama, Sosuke Amano, Kiyoharu Aizawa (UTokyo), Makoto Ogawa (foo.log) IMQ2014-37 IE2014-98 MVE2014-85
We tried to extract characteristics of personal dietary habits by abstracting a vast amount of personal food records acc... [more] IMQ2014-37 IE2014-98 MVE2014-85
pp.55-56
CQ, IMQ, MVE, IE
(Joint) [detail]
2015-03-04
14:00
Tokyo Seikei Univ. Extraction of Food Category Representatives in Meal Name Data
Sosuke Amano, Kiyoharu Aizawa (The Univ. of Tokyo), Makoto Ogawa (foo.log) IMQ2014-58 IE2014-119 MVE2014-106
We can collect the big data of food from various web services such as a food recording application, a restaurant recomme... [more] IMQ2014-58 IE2014-119 MVE2014-106
pp.147-152
DE 2014-09-11
10:50
Tokyo NII、12F Room1208, 1210 Food text clustering by selecting the most representative word
Sosuke Amano, Kiyoharu Aizawa (Tokyo Univ.), Makoto Ogawa (foo.log) DE2014-29
The development of information technology is enable us to collect the big data of food information. Effective ways of an... [more] DE2014-29
pp.37-40
DE 2014-09-11
14:15
Tokyo NII、12F Room1208, 1210 Applying Distribution of Food Item Positions in An Image to Food Image Retrieval
Yukihiro Takamatsu, Kiyoharu Aizawa (Univ. of Tokyo), Makoto Ogawa (foo.log) DE2014-32
We have released a smartphone application, in iOS and Android, named FoodLog for personal food recording purposes. In Fo... [more] DE2014-32
pp.53-56
LOIS 2014-03-07
15:30
Okinawa   Usability Study of Smartphone based FoodLog
Kiyoharu Aizawa, Kazuki Maeda (Univ. of Tokyo), Makoto Ogawa, Yohei Sato, Mayumi Kasamatsu (foo.log) LOIS2013-64
 [more] LOIS2013-64
pp.59-63
LOIS 2014-03-07
15:55
Okinawa   Visualization using food distance and personal food intake based on log data
Yuji Udagawa, Kiyoharu Aizawa (Univ. of Tokyo), Makoto Ogawa (foo.log) LOIS2013-65
In this paper, we define food distances in a variety of ways, use two-dimensional mapping methods and hierarchical clust... [more] LOIS2013-65
pp.65-70
LOIS 2014-03-07
16:20
Okinawa   Food Image Recognition Using Convolutional Neural Networks for Helping Food Record
Hokuto Kagaya, Kiyoharu Aizawa (Univ. of Tokyo), Makoto Ogawa (foo.log) LOIS2013-66
 [more] LOIS2013-66
pp.71-76
DE 2013-09-13
15:50
Tokyo NII、12F Room1208, 1210 FoodLog for Smartphone
Kiyoharu Aizawa (Univ. of Tokyo), Makoto Ogawa (foo.log) DE2013-45
We are investigating FoodLog and its real use in our daily life. FoodLog is a multimedia tool for food recoding. We deve... [more] DE2013-45
pp.67-70
LOIS 2013-03-07
11:40
Okinawa   Menu Recognition of Personal Food Log Image
Haruki Sugiyama, Kiyoharu Aizawa (Univ. of Tokyo), Makoto Ogawa (foo.log) LOIS2012-76
We propose a method for menu recognition for photos in individual personal food log. In this method, we extract ORB and ... [more] LOIS2012-76
pp.41-45
PRMU 2011-10-07
14:40
Chiba   [Special Talk] Cloud Computing and Pattern Recognition of FoodLog
Kiyoharu Aizawa (Univ. of Tokyo), Makoto Ogawa (foo,log) PRMU2011-98
 [more] PRMU2011-98
pp.57-60
 Results 1 - 20 of 21  /  [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