Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
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 |
MVE, ITE-HI |
2017-06-01 12:45 |
Tokyo |
Univ. of Tokyo |
Prediction of individual food preferences using food recordings Akihiro Tsubakida, Sosuke Amano, Kiyoharu Aizawa (UTokyo), Makoto Ogawa (foo.log) MVE2017-8 |
In order to maintain and improve health from the view point of eating, it is necessary to grasp the individual food pref... [more] |
MVE2017-8 pp.55-60 |
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 |
ASN, MoNA, MICT (Joint) |
2017-01-20 13:00 |
Oita |
|
[Invited Talk]
Solving the problems of the current elderly care market by developing IoT systems for life support and care assistance Makoto Ogawa (Z-Works) |
[more] |
|
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 |
R |
2013-11-14 14:50 |
Osaka |
|
Effect of Plate-Shape Ni-Sn IMC on the Growth Mechanism of Tin Whisker under Thermal Shock Stress Akira Saito, Akira Okamoto, Yoshihiro Iwahori, Makoto Ogawa (Mutrata MFG), Akihiro Motoki (Sabae Mutrata MFG) R2013-76 |
With the promotion of lead-free solder in these years, some segments have expressed concern about the possibility of tin... [more] |
R2013-76 pp.11-16 |
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 |