| Presentation | 2018-03-08 Carbohydrate Counting from Food Images Hibiki Ikeda, Kyoko Sudo, Shigeko Kimura, Kayo Waki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Type 1 diabetes patients, whoes body doesn't produce enough inslin to control their blood glucose levels, estimate the amount of glucose contained in their meals by seeing, and take inslin by injection. This estimation, called Carbohydrate Counting, that has to be done carefully at every meal, is the hard task for diabetes patients and the families of young patients. This work proposes a system that outputs carbohydrate estimation from a meal image as input, aiming to provide the simple way of carbohydrate counting. We estimate the amount of carbohydrate by regression from the food area image, which is obtained by labeling input meal image pixelwise using semantic segmentation method of deep learning. The experiments show that the regression from white rice area, that is the major elementof carbohydrate counting, almost achieves the target accuracy(within 20% errors). |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Carbohydrate Counting / Food Images / Deep Learning / Semantic Segmentation |
| Paper # | IMQ2017-34,IE2017-126,MVE2017-76 |
| Date of Issue | 2018-03-01 (IMQ, IE, MVE) |
| Conference Information | |
| Committee | CQ / MVE / IE / IMQ |
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| Conference Date | 2018/3/8(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Industry Support Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Five Senses Media, Cooking and Eating Activities Media, Multimedia, Media Experience, Video Encoding, Image Media Quality, Network Quality and Reliability, etc. (Co-sponsor: Technical Committee on Multimedia on Cooking and Eating Activities (CEA)) |
| Chair | Takanori Hayashi(Hiroshima Inst. of Tech.) / Yoshinari Kameda(Univ. of Tsukuba) / Takayuki Hamamoto(Tokyo Univ. of Science) / Kenji Sugiyama(Seikei Univ.) |
| Vice Chair | Hideyuki Shimonishi(NEC) / Jun Okamoto(NTT) / Kenji Mase(Nagoya Univ.) / Kazuya Kodama(NII) / Hideaki Kimata(NTT) / Toshiya Nakaguchi(Chiba Univ.) / Mitsuru Maeda(Canon) |
| Secretary | Hideyuki Shimonishi(NTT) / Jun Okamoto(Keio Univ.) / Kenji Mase(Kyoto Univ.) / Kazuya Kodama(NTT) / Hideaki Kimata(Kyushu Univ.) / Toshiya Nakaguchi(Nagoya Univ.) / Mitsuru Maeda(KDDI Research) |
| Assistant | Kenko Ota(Nippon Inst. of Tech.) / Norihiro Fukumoto(KDDI Research Inc.) / Ryo Yamamoto(UEC) / Takatsugu Hirayama(Nagoya Univ.) / Ryosuke Aoki(NTT) / Yasutaka Matsuo(NHK) / Kazuya Hayase(NTT) / Masaru Tsuchida(NTT) / Gosuke Ohashi(Shizuoka Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Communication Quality / Technical Committee on Media Experience and Virtual Environment / Technical Committee on Image Engineering / Technical Committee on Image Media Quality |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Carbohydrate Counting from Food Images |
| Sub Title (in English) | * |
| Keyword(1) | Carbohydrate Counting |
| Keyword(2) | Food Images |
| Keyword(3) | Deep Learning |
| Keyword(4) | Semantic Segmentation |
| 1st Author's Name | Hibiki Ikeda |
| 1st Author's Affiliation | Toho University(Toho Univ.) |
| 2nd Author's Name | Kyoko Sudo |
| 2nd Author's Affiliation | Toho University(Toho Univ.) |
| 3rd Author's Name | Shigeko Kimura |
| 3rd Author's Affiliation | Tokyo University(Tokyo Univ.) |
| 4th Author's Name | Kayo Waki |
| 4th Author's Affiliation | Tokyo University(Tokyo Univ.) |
| Date | 2018-03-08 |
| Paper # | IMQ2017-34,IE2017-126,MVE2017-76 |
| Volume (vol) | vol.117 |
| Number (no) | IMQ-483,IE-484,MVE-485 |
| Page | pp.pp.53-57(IMQ), pp.53-57(IE), pp.53-57(MVE), |
| #Pages | 5 |
| Date of Issue | 2018-03-01 (IMQ, IE, MVE) |