Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
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] |
|
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 |
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 |
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 |
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 |
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 |
2012-06-06 10:00 |
Tokyo |
NII、12F Room1208, 1210 |
Clustering of FoodLog images Sosuke Amano, Chaminda de Silva, Kiyoharu Aizawa (Tokyo Univ.) DE2012-7 |
Because of the increase of social networking services, a large number of food images are continuously uploaded. In FoodL... [more] |
DE2012-7 pp.37-42 |