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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 19 of 19  /   
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]
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]
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
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
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]		 2015-03-04
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
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
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]
 Results 1 - 19 of 19  /   
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