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All Technical Committee Conferences (Searched in: All Years)
| 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 |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-15 13:30 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Study on Leftovers Prediction from Food Images Yuita Arum Sari, Atsushi Nakazawa (Okayama University) IMQ2023-86 IE2023-141 MVE2023-115 |
Leftover analysis is a valuable tool used by dietitians and nutritionists to assess a patient's calorie intake in health... [more] | IMQ2023-86 IE2023-141 MVE2023-115 pp.390-395 |
| 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 |
| MVE, IPSJ-CVIM, VRSJ-SIG-MR | 2023-01-27 13:35 |
Nara | Nara Institute of Science and Technology (Primary: On-site, Secondary: Online) |
[Invited Talk]
Emotion sensing for food processing Wataru Sato (RIKEN) MVE2022-43 |
Physiological correlates of emotional experience with food stimuli are practically and theoretically important. Some pre... [more] | MVE2022-43 pp.49-53 |
| HIP | 2022-12-22 13:30 |
Miyagi | Research Institute of Electrical Communication (Primary: On-site, Secondary: Online) |
Influence of background colors of food images on food-based gender stereotypes Miho Sakurai (Ritsumeikan Univ.), Atsushi Kimura (Nihon Univ.), Yuji Wada (Ritsumeikan Univ.) HIP2022-59 |
Food-based gender stereotypes (GS) have been reported to be measured as explicit and implicit attitudes in questionnaire... [more] | HIP2022-59 pp.7-12 |
| CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-11 17:55 |
Online | Online (Zoom) | A study on multi-task learning toward attractiveness estimation for food photography Mitsuaki Miyazaki, Keisuke Doman (Chukyo Univ.), Ichiro Ide (Nagoya Univ.), Yoshito Mekada (Chukyo Univ.) IMQ2021-68 IE2021-130 MVE2021-97 |
We report the results of a study on multi-task learning for the accuracy improvement of attractiveness estimation of foo... [more] | IMQ2021-68 IE2021-130 MVE2021-97 pp.306-311 |
| 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 | 2021-03-05 10:20 |
Online | Online | Analysis of visual subjective evaluation for qualities of food taste using machine learning techniques Yoshiyuki Sato (Tohoku Univ.), Kazuya Matsubara, Yuji Wada (Ritsmeikan Univ.), Nobuyuki Sakai, Satoshi Shioiri (Tohoku Univ.) EMM2020-77 |
In this study, we conducted an experiment to collect human subjective judgments about taste (e.g. sweetness, spiciness) ... [more] | EMM2020-77 pp.58-62 |
| HIP | 2020-12-23 14:00 |
Online | Online | Analysis of human subjective evaluation using deep neural networks Yoshiyuki Sato (Tohoku Univ.), Kazuya Matsubara, Yuji Wada (Ritsmeikan Univ.), Satoshi Shioiri (Tohoku Univ.) HIP2020-68 |
In this research, we constructed an deep learning model to learn and predict several different subjective judgments by h... [more] | HIP2020-68 pp.77-80 |
| HCGSYMPO (2nd) |
2020-12-15 - 2020-12-17 |
Online | Online | Analysis of Relationship between Dishes and Foods towards Serving and Arrangement Support
-- Feature Analysis Focusing on Color Histogram -- Hayate Fukumoto, Mitsunori Matsushita, Ryosuke Yamanishi (Kansai Univ.) |
This paper investigate relationship between foods and plates based on each color histogram and its area. The goal of thi... [more] | |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 14:45 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
Typicality evaluation of food-type specific presentation Masamu Nakamura, Yasutomo Kawanishi (Nagoya Univ.), Keisuke Doman (Chukyou Univ.), Takatsugu Hirayama, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase (Nagoya Univ.) IMQ2019-49 IE2019-131 MVE2019-70 |
We propose a method to evaluate the typicality of a food presentation within its food-type for supporting cooking recipe... [more] | IMQ2019-49 IE2019-131 MVE2019-70 pp.171-176 |
| 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 |
| MVE | 2019-08-29 15:10 |
Aichi | [Short Paper]
Typicality analysis of a food within a food category based on its appearance Masamu Nakamura, Yasutomo Kawanishi (Nagoya Univ.), Keisuke Doman (Chukyou Univ.), Takatsugu Hirayama, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase (Nagoya Univ.) MVE2019-10 |
We propose a method to analyze the typicality of a food within its food category based on its appearance for supporting ... [more] | MVE2019-10 pp.31-34 |
|
| 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 |
|
| 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] |
2018-03-08 14:30 |
Okinawa | Okinawa Industry Support Center | Improvement of taste estimation from a cooking recipe with an image
-- A study on the utilization of the cooking procedure -- Yoichiro Ito (Nagoya Univ.), Keisuke Doman (Chukyo Univ.), Yasutomo Kawanishi, Takatsugu Hirayama, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase (Nagoya Univ.) IMQ2017-35 IE2017-127 MVE2017-77 |
Based on the image features of the dish recipe possessed by the cooking recipe, the material characteristics based on th... [more] | IMQ2017-35 IE2017-127 MVE2017-77 pp.59-60 |
| 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 |
| SCE | 2018-01-31 10:55 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Preliminary Study on Ultra-low Field SQUID MRI Food Inspection system with Non-Resonant Circuit Kazuma Demachi, Moriki Kabasawa, Taiga Tanaka (Toyohashi Tech.), Seiji Adachi, Keiichi Tanabe (SUSTERA), Saburo Tanaka (Toyohashi Tech.) SCE2017-34 |
Preliminary study on Ultra-Low Field (ULF) Magnetic Resonance Imaging (MRI) system with a high-temperature superconducto... [more] | SCE2017-34 pp.15-19 |
| MVE | 2017-10-20 11:20 |
Hokkaido | KitamiInstitute of Technology | Estimating the attractiveness of a food photo using a Convolutional Neural Network Akinori Sato (Nagoya Univ.), Keisuke Doman (Chukyo Univ.), Takatsugu Hirayama, Ichiro Ide, Yasutomo Kawanishi, Daisuke Deguchi, Hiroshi Murase (Nagoya Univ.) MVE2017-32 |
We have previously proposed a method for estimating the attractiveness of a food photo in order to assist a user to shoo... [more] | MVE2017-32 pp.107-111 |
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