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Dish-ID: A neural-based method for ingredient extraction and further recipe suggestion. / Shchuka, Ilya; Miftakhov, Saydash; Patrushev, Vladislav et al.

2020 International Conference Engineering and Telecommunication, En and T 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9431242 (2020 International Conference Engineering and Telecommunication, En and T 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Shchuka, I, Miftakhov, S, Patrushev, V, Tikhonova, M & Fenogenova, A 2020, Dish-ID: A neural-based method for ingredient extraction and further recipe suggestion. in 2020 International Conference Engineering and Telecommunication, En and T 2020., 9431242, 2020 International Conference Engineering and Telecommunication, En and T 2020, Institute of Electrical and Electronics Engineers Inc., 2020 International Conference Engineering and Telecommunication, En and T 2020, Dolgoprudny, Russian Federation, 25.11.2020. https://doi.org/10.1109/EnT50437.2020.9431242

APA

Shchuka, I., Miftakhov, S., Patrushev, V., Tikhonova, M., & Fenogenova, A. (2020). Dish-ID: A neural-based method for ingredient extraction and further recipe suggestion. In 2020 International Conference Engineering and Telecommunication, En and T 2020 [9431242] (2020 International Conference Engineering and Telecommunication, En and T 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EnT50437.2020.9431242

Vancouver

Shchuka I, Miftakhov S, Patrushev V, Tikhonova M, Fenogenova A. Dish-ID: A neural-based method for ingredient extraction and further recipe suggestion. In 2020 International Conference Engineering and Telecommunication, En and T 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9431242. (2020 International Conference Engineering and Telecommunication, En and T 2020). doi: 10.1109/EnT50437.2020.9431242

Author

Shchuka, Ilya ; Miftakhov, Saydash ; Patrushev, Vladislav et al. / Dish-ID: A neural-based method for ingredient extraction and further recipe suggestion. 2020 International Conference Engineering and Telecommunication, En and T 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 International Conference Engineering and Telecommunication, En and T 2020).

BibTeX

@inproceedings{8498aab3656e4b58861667f26dde0958,
title = "Dish-ID: A neural-based method for ingredient extraction and further recipe suggestion",
abstract = "The paper presents a method for meal recognition, ingredient extraction and recipe suggestion in the Russian language. The proposed algorithm consists of several consecutive stages. On the first stage the model extracts a list of ingredients from a photo of the dish, based on which recipes on the second stage are selected. Two ingredient extraction architectures were tested for the first stage and three recipe matching methods for recipe suggestion are proposed. In addition, the algorithm was incorporated into the telegram-bot which provides friendly user experience. Source code is at https://github.com/Alenushldish_id_sirius.",
keywords = "Computer vision, Deep learning, Food detection, Food recognition, Image capturing, Ingredient extraction, Machine learning, Natural language processing, Neural networks",
author = "Ilya Shchuka and Saydash Miftakhov and Vladislav Patrushev and Maria Tikhonova and Alena Fenogenova",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 International Conference Engineering and Telecommunication, En and T 2020 ; Conference date: 25-11-2020 Through 26-11-2020",
year = "2020",
month = nov,
day = "25",
doi = "10.1109/EnT50437.2020.9431242",
language = "English",
series = "2020 International Conference Engineering and Telecommunication, En and T 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 International Conference Engineering and Telecommunication, En and T 2020",
address = "United States",

}

RIS

TY - GEN

T1 - Dish-ID: A neural-based method for ingredient extraction and further recipe suggestion

AU - Shchuka, Ilya

AU - Miftakhov, Saydash

AU - Patrushev, Vladislav

AU - Tikhonova, Maria

AU - Fenogenova, Alena

N1 - Publisher Copyright: © 2020 IEEE.

PY - 2020/11/25

Y1 - 2020/11/25

N2 - The paper presents a method for meal recognition, ingredient extraction and recipe suggestion in the Russian language. The proposed algorithm consists of several consecutive stages. On the first stage the model extracts a list of ingredients from a photo of the dish, based on which recipes on the second stage are selected. Two ingredient extraction architectures were tested for the first stage and three recipe matching methods for recipe suggestion are proposed. In addition, the algorithm was incorporated into the telegram-bot which provides friendly user experience. Source code is at https://github.com/Alenushldish_id_sirius.

AB - The paper presents a method for meal recognition, ingredient extraction and recipe suggestion in the Russian language. The proposed algorithm consists of several consecutive stages. On the first stage the model extracts a list of ingredients from a photo of the dish, based on which recipes on the second stage are selected. Two ingredient extraction architectures were tested for the first stage and three recipe matching methods for recipe suggestion are proposed. In addition, the algorithm was incorporated into the telegram-bot which provides friendly user experience. Source code is at https://github.com/Alenushldish_id_sirius.

KW - Computer vision

KW - Deep learning

KW - Food detection

KW - Food recognition

KW - Image capturing

KW - Ingredient extraction

KW - Machine learning

KW - Natural language processing

KW - Neural networks

UR - http://www.scopus.com/inward/record.url?scp=85107698504&partnerID=8YFLogxK

U2 - 10.1109/EnT50437.2020.9431242

DO - 10.1109/EnT50437.2020.9431242

M3 - Conference contribution

AN - SCOPUS:85107698504

T3 - 2020 International Conference Engineering and Telecommunication, En and T 2020

BT - 2020 International Conference Engineering and Telecommunication, En and T 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 International Conference Engineering and Telecommunication, En and T 2020

Y2 - 25 November 2020 through 26 November 2020

ER -

ID: 34227110