Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-15 15:50 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
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 |
Recently, due to growing health awareness, there has been an increasing demand for meal management. Automated estimation... [more] |
IMQ2023-74 IE2023-129 MVE2023-103 pp.330-335 |
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 |
WIT, HI-SIGACI |
2023-12-07 15:15 |
Tokyo |
AIST Tokyo Waterfront (TBD) |
Cooking support system for visually impaired
-- A study on fresh food management support system for refrigerators -- Asuka Morita, Shun-ichi Yonemura (SIT) WIT2023-36 |
For visually impaired, managing fresh food in the refrigerator comes with various difficulties. Visually impaired manage... [more] |
WIT2023-36 pp.64-69 |
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 |
EMM |
2020-03-05 15:35 |
Okinawa |
(Cancelled but technical report was issued) |
[Poster Presentation]
A proposal for cooking asist system : Meal finder
-- food recognition in refrigerator -- Masahiro Sudo, Michiharu Niimi (KIT) EMM2019-116 |
This paper proposes a cooking assist system which is called “Meal Finder.” For the people who feels a bother with self-c... [more] |
EMM2019-116 pp.75-80 |
PRMU, BioX |
2018-03-18 11:10 |
Tokyo |
|
Simultaneous Learning Model of Food Image Recognition and Ingrediensts Estimation Koyo Ito, Takao Yamanaka (Sophia Univ.) BioX2017-38 PRMU2017-174 |
In recent years, many health-care applications such as food diary have been developed for smart devices. It is important... [more] |
BioX2017-38 PRMU2017-174 pp.13-18 |
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 |
IE, EMM, LOIS, IEE-CMN, ITE-ME [detail] |
2013-09-12 16:10 |
Kumamoto |
|
[Invited Talk]
Developement of Food Log Kiyoharu Aizawa (Univ. of Tokyo) LOIS2013-16 IE2013-37 EMM2013-59 |
Food is indispensable to our life and the content is influential to our health. We have been developing “FoodLog” which ... [more] |
LOIS2013-16 IE2013-37 EMM2013-59 p.37 |
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, MI, IE |
2011-05-20 10:00 |
Aichi |
|
Auto Recognition of food images using SPIN feature and Food-Log system Wazumi Minami, Youhei Tsurugai, Xian-Hua Han, Yen-Wei Chen (Ritsumeikan Univ.) IE2011-25 PRMU2011-17 MI2011-17 |
Recently, with the increasing of unhealthy diets and the attracted attention for healthy life, how to manage the dietary... [more] |
IE2011-25 PRMU2011-17 MI2011-17 pp.93-98 |
HCGSYMPO (2nd) |
2010-12-15 - 2010-12-17 |
Miyazaki |
Miyazaki Seagai resort |
Twitter BOT based on Recognition of Specific Meal Images Haruki Sugiyama, De Silva Gamhewage Chaminda, Toshihiko Yamasaki, Kiyoharu Aizawa (Tokyo Univ.), Makoto Ogawa, Yohei Sato, Ryotoku Ohta (foo.log) |
We developed a recognition system of specific meal images uploaded on image sharing websites, and implemented it on a Tw... [more] |
|
PRMU, HIP |
2010-06-25 11:10 |
Aomori |
|
Texture Analysis for Food Recognition Do Ngoc Khanh, Jun Ohya (Waseda Uni.), Pishva Davar (Ritsumeikan Asian Pacific Univ.) PRMU2010-50 HIP2010-39 |
This paper studies the effectiveness of texture analysis methods for classifying different food items having the same co... [more] |
PRMU2010-50 HIP2010-39 pp.69-74 |