| Presentation | 2021-03-01 Taste Prediction System from Cooking Images Using Deep Learning Akinobu Yoshioka, Qiu Chen, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, a large amount of food images have been uploaded on social media, etc., which have been closed related to people's lives. However, it is difficult to guess the taste just by looking at cooking images that you do not know. Therefore, we adopt a deep learning method and propose a system to predict the taste from cooking images. The cooking image classifier estimates the ingredients and recipes of the dishes based on the cooking images, while the taste classifier predicts the taste based on the cooking recipes and the cosine similarity of words representing taste. By combining the above two types of classifiers, the taste prediction from cooking images is achieved. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Deep Learning / Cooking Image / Taste Prediction / Word2vec |
| Paper # | IMQ2020-17,IE2020-57,MVE2020-49 |
| Date of Issue | 2021-02-22 (IMQ, IE, MVE) |
| Conference Information | |
| Committee | MVE / IMQ / IE / CQ |
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| Conference Date | 2021/3/1(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Masayuki Ihara(NTT) / Toshiya Nakaguchi(Chiba Univ.) / Hideaki Kimata(NTT) / Hideyuki Shimonishi(NEC) |
| Vice Chair | Kiyoshi Kiyokawa(NAIST) / Mitsuru Maeda(Canon) / Kenya Uomori(Osaka Univ.) / Kazuya Kodama(NII) / Keita Takahashi(Nagoya Univ.) / Jun Okamoto(NTT) / Takefumi Hiraguri(Nippon Inst. of Tech.) |
| Secretary | Kiyoshi Kiyokawa(Oosaka Inst. of Tech.) / Mitsuru Maeda(NTT) / Kenya Uomori(Univ. of ToKyo) / Kazuya Kodama(Shizuoka Univ.) / Keita Takahashi(Sony Semiconductor Solutions) / Jun Okamoto(KDDI Research) / Takefumi Hiraguri(Nagoya Inst. of Tech.) |
| Assistant | Naoya Isoyama(NAIST) / Takenori Hara(DNP) / Mitsuhiro Goto(NTT) / Hiroaki Kudo(Nagoya Univ.) / Masaru Tsuchida(NTT) / Keita Hirai(Chiba Univ.) / Shunsuke Iwamura(NHK) / Shinobu Kudo(NTT) / Yoshiaki Nishikawa(NEC) / Takuto Kimura(NTT) / Ryoichi Kataoka(KDDI Research) |
| Paper Information | |
| Registration To | Technical Committee on Media Experience and Virtual Environment / Technical Committee on Image Media Quality / Technical Committee on Image Engineering / Technical Committee on Communication Quality |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Taste Prediction System from Cooking Images Using Deep Learning |
| Sub Title (in English) | |
| Keyword(1) | Deep Learning |
| Keyword(2) | Cooking Image |
| Keyword(3) | Taste Prediction |
| Keyword(4) | Word2vec |
| 1st Author's Name | Akinobu Yoshioka |
| 1st Author's Affiliation | Kogakuin University(kogakuin Univ.) |
| 2nd Author's Name | Qiu Chen |
| 2nd Author's Affiliation | Kogakuin University(kogakuin Univ.) |
| Date | 2021-03-01 |
| Paper # | IMQ2020-17,IE2020-57,MVE2020-49 |
| Volume (vol) | vol.120 |
| Number (no) | IMQ-389,IE-390,MVE-391 |
| Page | pp.pp.34-39(IMQ), pp.34-39(IE), pp.34-39(MVE), |
| #Pages | 6 |
| Date of Issue | 2021-02-22 (IMQ, IE, MVE) |