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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 16 of 16  /   
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
 Results 1 - 16 of 16  /   
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