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World Food Atlas Project

Published:21 August 2021Publication History

ABSTRACT

A coronavirus pandemic is forcing people to be "at home" all over the world. In a life of hardly ever going out, we would have realized how the food we eat affects our bodies. What can we do to know our food more and control it better? To give us a clue, we are trying to build a World Food Atlas (WFA) that collects all the knowledge about food in the world. In this paper, we present two of our trials. The first is the Food Knowledge Graph (FKG), which is a graphical representation of knowledge about food and ingredient relationships derived from recipes and food nutrition data. The second is the FoodLog Athl and the RecipeLog that are applications for collecting people's detailed records about food habit. We also discuss several problems that we try to solve to build the WFA by integrating these two ideas.

References

  1. Kiyoharu Aizawa. 2019. FoodLog: Multimedia Food Recording Platform and its Application. 32--32. https://doi.org/10.1145/3347448.3352809Google ScholarGoogle Scholar
  2. Damion M. Dooley, Emma J. Griffiths, Gurinder S. Gosal, Pier L. Buttigieg, Robert Hoehndorf, Matthew C. Lange, Lynn M. Schriml, Fiona S.L. Brinkman, and William W.L. Hsiao. 2018. Food on: A harmonized food ontology to increase global food traceability, quality control and data integration. npj Science of Food , Vol. 2, 1 (2018), 1--10. https://doi.org/10.1038/s41538-018-0032--6Google ScholarGoogle Scholar
  3. Chloé Kiddon, Luke Zettlemoyer, and Yejin Choi. 2016. Globally Coherent Text Generation with Neural Checklist Models. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing. 329--339.Google ScholarGoogle ScholarCross RefCross Ref
  4. Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, and Julian McAuley. 2019. Generating Personalized Recipes from Historical User Preferences. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 5976--5982. https://doi.org/10.18653/v1/D19--1613Google ScholarGoogle ScholarCross RefCross Ref
  5. 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.2019.2927476Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Weiqing Min, Shuqiang Jiang, and Ramesh Jain. 2020. Food Recommendation: Framework, Existing Solutions, and Challenges . IEEE Transactions on Multimedia, Vol. 22, 10 (2020), 2659--2671. https://doi.org/10.1109/TMM.2019.2958761Google ScholarGoogle ScholarCross RefCross Ref
  7. Vaibhav Pandey, Ali Rostami, Nitish Nag, and Ramesh Jain. 2021. Event Mining Driven Context-Aware Personal Food Preference Modelling. 660--676. https://doi.org/10.1007/978--3-030--68821--9_52Google ScholarGoogle Scholar
  8. Ali Rostami, Vaibhav Pandey, Nitish Nag, Vesper Wang, and Ramesh Jain. 2020 a. Personal Food Model. arXiv (2020). https://doi.org/10.1145/3394171.3414691Google ScholarGoogle Scholar
  9. Ali Rostami, Bihao Xu, and Ramesh Jain. 2020 b. Multimedia Food Logger. In Proceedings of the 28th ACM International Conference on Multimedia.Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Amaia Salvador, Michal Drozdzal, Xavier Giro-I-Nieto, and Adriana Romero. 2019. Inverse cooking: Recipe generation from food images. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol. 2019-June. IEEE Computer Society, 10445--10454. https://doi.org/10.1109/CVPR.2019.01070Google ScholarGoogle ScholarCross RefCross Ref

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            cover image ACM Conferences
            CEA '21: Proceedings of the 13th International Workshop on Multimedia for Cooking and Eating Activities
            August 2021
            42 pages
            ISBN:9781450385329
            DOI:10.1145/3463947

            Copyright © 2021 ACM

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            Publication History

            • Published: 21 August 2021

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