Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3552485.3554942acmconferencesArticle/Chapter ViewAbstractPublication PagesmmConference Proceedingsconference-collections
short-paper

Recipe Recording by Duplicating and Editing Standard Recipe

Published: 10 October 2022 Publication History

Abstract

The best way to ascertain the exact nutritional value of a user's food intake is to have the user record the recipe for that food himself/herself. However, writing a recipe from scratch is tedious and impractical. Therefore, we proposed a method that allows users to write their own recipe in a short time by duplicating and editing a standard recipe. We developed a smartphone application and conducted an experiment in which 19 participants were asked to write their own recipes for about 10 food items each. The results showed that the duplication method took 74% of the time compared to writing a recipe from scratch. The number of editing operations was also reduced to 45%. Future work is to construct a dataset of standard recipes that can be rewritten with little editing cost for any person's recipe.

Supplementary Material

MP4 File (CEA22-cea012s.mp4)
Presentation video

References

[1]
Kiyoharu Aizawa. 2019. FoodLog: Multimedia Food Recording Platform and its Application. In Proceedings of the 5th International Workshop on Multimedia Assisted Dietary Management (MADiMa '19).
[2]
Van Asbroeck, Stephanie, and Christophe Matthys. 2020. Use of Different Food Image Recognition Platforms in Dietary Assessment: Comparison Study., Vol. 4 (2020), e15602. Issue 12. https://doi.org/10.2196/15602
[3]
Marc Bola n os, Marc Valdivia, and Petia Radeva. 2019. Where and What Am I Eating? Image-Based Food Menu Recognition. In Computer Vision -- ECCV 2018 Workshops, Laura Leal-Taixé and Stefan Roth (Eds.). Springer International Publishing, Cham, 590--605.
[4]
Renata Bracale and Concetta M. Vaccaro. 2020. Changes in food choice following restrictive measures due to Covid-19. Nutrition, Metabolism and Cardiovascular Diseases, Vol. 30, 9 (2020), 1423--1426. https://doi.org/10.1016/j.numecd.2020.05.027
[5]
Yu Chung Chooi, Cherlyn Ding, and Faidon Magkos. 2019. The epidemiology of obesity. Metabolism, Vol. 92 (2019), 6--10. https://doi.org/10.1016/j.metabol.2018.09.005 Obesity: the 21st century epidemic.
[6]
Javier Marin, Aritro Biswas, Ferda Ofli, Nicholas Hynes, Amaia Salvador, Yusuf Aytar, Ingmar Weber, and Antonio Torralba. 2021. Recipe1M: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 43, 1 (2021), 187--203. https://doi.org/10.1109/TPAMI.2019.2927476
[7]
Weiqing Min, Linhu Liu, Zhiling Wang, Zhengdong Luo, Xiaoming Wei, Xiaolin Wei, and Shuqiang Jiang. 2020. ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network. In Proceedings of the 28th ACM International Conference on Multimedia (MM '20). 393--401. https://doi.org/10.1145/3394171.3414031
[8]
Kentaro Murakami, S Sasaki, Y Takahashi, K Uenishi, M Yamasaki, Hitomi Hayabuchi, Toshinao Goda, J Oka, K Baba, K Ohki, T Kohri, R Watanabe, and Y Sugiyama. 2008. Misreporting of dietary energy, protein, potassium and sodium in relation to body mass index in young Japanese women. European journal of clinical nutrition, Vol. 62 (02 2008), 111--8. https://doi.org/10.1038/sj.ejcn.1602683
[9]
“Cision PR Newswire”. 2022. Allrecipes Celebrates 20 Years As The Leading Global Digital Food Brand. https://www.prnewswire.com/news-releases/allrecipes-celebrates-20-years-as-the-leading-global-digital-food-brand-300495340.html
[10]
Doyen Sahoo, Wang Hao, Shu Ke, Wu Xiongwei, Hung Le, Palakorn Achananuparp, Ee-Peng Lim, and Steven C. H. Hoi. 2019. FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (Anchorage, AK, USA) (KDD '19). Association for Computing Machinery, New York, NY, USA, 2260^^e2^^80^^932268. https://doi.org/10.1145/3292500.3330734
[11]
Misa Shimpo, Rie Akamatsu, Yui Kojima, Tetsuji Yokoyama, Tsuyoshi Okuhara, and Tsuyoshi Chiba. 2021. Factors Associated with Dietary Change since the Outbreak of COVID-19 in Japan. Nutrients, Vol. 13, 6 (2021). https://doi.org/10.3390/nu13062039
[12]
Ghalib Ahmed Tahir and Chu Kiong Loo. 2021. A Comprehensive Survey of Image-Based Food Recognition and Volume Estimation Methods for Dietary Assessment. Healthcare, Vol. 9, 12 (2021). https://doi.org/10.3390/healthcare9121676

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
CEA++ '22: Proceedings of the 1st International Workshop on Multimedia for Cooking, Eating, and related APPlications
October 2022
66 pages
ISBN:9781450395038
DOI:10.1145/3552485
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 October 2022

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. dietary management
  2. recipe logging application

Qualifiers

  • Short-paper

Funding Sources

Conference

MM '22
Sponsor:

Acceptance Rates

Overall Acceptance Rate 20 of 33 submissions, 61%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 51
    Total Downloads
  • Downloads (Last 12 months)10
  • Downloads (Last 6 weeks)0
Reflects downloads up to 25 Feb 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media