Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, IPSJ-CVIM |
2022-03-10 15:20 |
Online |
Online |
PRMU2021-67 |
(To be available after the conference date) [more] |
PRMU2021-67 pp.42-47 |
CQ, MVE, IE, IMQ (Joint) [detail] |
2018-03-08 14:10 |
Okinawa |
Okinawa Industry Support Center |
Carbohydrate Counting from Food Images Hibiki Ikeda, Kyoko Sudo (Toho Univ.), Shigeko Kimura, Kayo Waki (Tokyo Univ.) IMQ2017-34 IE2017-126 MVE2017-76 |
Type 1 diabetes patients, whoes body doesn't produce enough inslin to control their blood glucose levels,
estimate th... [more] |
IMQ2017-34 IE2017-126 MVE2017-76 pp.53-57 |
CQ, MVE, IE, IMQ (Joint) [detail] |
2018-03-09 11:15 |
Okinawa |
Okinawa Industry Support Center |
Generate images from food photos by Conditional GAN Yoshifumi Ito, Ryosuke Tanno, Keiji Yanai (UEC) IMQ2017-50 IE2017-142 MVE2017-92 |
Making images using Generative Adversarial Network (GANs) has been actively conducted recently.
In this paper, we propo... [more] |
IMQ2017-50 IE2017-142 MVE2017-92 pp.137-142 |
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 |
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 |
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 |
MBE |
2014-01-24 15:10 |
Saga |
Saga University |
Evaluation system for nutrientintake using image processing Rie Takahashi, Masayuki Nambu, Miho Asano (Osaka Electro-Comm. Univ.) MBE2013-100 |
Many trials of the nutrition evaluation using a picture have been reported. However, almost of them are evaluation of am... [more] |
MBE2013-100 pp.35-38 |
PRMU |
2013-10-04 17:40 |
Chiba |
|
Ramen vs Curry
-- Twitter Food Photo Analysis with Two-year log data and rapid food recognition engine -- Yoshiyuki Kawano, Keiji Yanai (UEC) PRMU2013-67 |
(To be available after the conference date) [more] |
PRMU2013-67 pp.59-64 |
DE |
2013-09-12 16:10 |
Tokyo |
NII、12F Room1208, 1210 |
FoodCam: A Food Recording System on a Smartphone Using a Real-time Food Photo Recognition Engine Yoshiyuki Kawano, Keiji Yanai (UEC) DE2013-35 |
(To be available after the conference date) [more] |
DE2013-35 pp.13-18 |
LOIS |
2013-03-08 14:20 |
Okinawa |
|
Normalization technique for meal pictures using feature points of the tablecloth Katsuyoshi Tanabe, Shogo Sawada (Meio Univ.) LOIS2012-101 |
Good meal balance is important for health. But it is difficult to always eat a balanced meal. In this research, the tech... [more] |
LOIS2012-101 pp.185-190 |
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 |
PRMU, FM |
2011-12-16 10:00 |
Shizuoka |
Hamamatsu Campus, Shizuoka Univ. |
Food region detection using Deformable Part Model Yuji Matsuda, Keiji Yanai (UEC) PRMU2011-133 |
(To be available after the conference date) [more] |
PRMU2011-133 pp.47-51 |