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Proceedings of the 28th ACM International Conference on Multimedia
(MM '20), October 12--16, 2020, Seattle, WA, USA, 2020 Food is central to life. Food provides us with energy and foundational building blocks for our body and is also a major source of joy and new experiences. A significant part of the overall economy is related to food. Food science, distribution, processing, and consumption have been addressed by different communities using silos of computational ...
arxiv +1 more source
Applications of knowledge graphs for food science and industry [PDF]
Patterns Volume 3, Issue 5 (2022) 100484, 2021 The deployment of various networks (e.g., Internet of Things [IoT] and mobile networks), databases (e.g., nutrition tables and food compositional databases), and social media (e.g., Instagram and Twitter) generates huge amounts of food data, which present researchers with an unprecedented opportunity to study various problems and applications in food ...
arxiv +1 more source
Muti-Stage Hierarchical Food Classification [PDF]
, 2023 Food image classification serves as a fundamental and critical step in image-based dietary assessment, facilitating nutrient intake analysis from captured food images. However, existing works in food classification predominantly focuses on predicting 'food types', which do not contain direct nutritional composition information.
arxiv +1 more source
Reversing Food Craving Preference Through Multisensory Exposure [PDF]
arXiv, 2022 Experiencing food craving is nearly ubiquitous and has several negative pathological impacts, but effective intervention strategies to control or reverse craving remain limited. Food cue-reactivity tasks are often used to study food craving but most paradigms ignore individual food preferences, which could confound the findings.
arxiv
Towards the Creation of a Nutrition and Food Group Based Image Database [PDF]
arXiv, 2022 Food classification is critical to the analysis of nutrients comprising foods reported in dietary assessment. Advances in mobile and wearable sensors, combined with new image based methods, particularly deep learning based approaches, have shown great promise to improve the accuracy of food classification to assess dietary intake.
arxiv
An End-to-End Food Image Analysis System [PDF]
arXiv, 2021 Modern deep learning techniques have enabled advances in image-based dietary assessment such as food recognition and food portion size estimation. Valuable information on the types of foods and the amount consumed are crucial for prevention of many chronic diseases.
arxiv
You are what you eat: A social media study of food identity [PDF]
J Comput Soc Sc (2019), 2018 Food preferences not only originate from a person's dietary habits, but also reflect personal values and consumer awareness. This study addresses `food identity' or the relationship between food preferences and personal attributes based on the concept of `food left-wing' (e.g., vegetarians) and `food right-wing' (e.g., fast-food lovers) by analyzing ...
arxiv +1 more source
AI-enabled Efficient and Safe Food Supply Chain [PDF]
arXiv, 2021 This paper provides a review of an emerging field in the food processing sector, referring to efficient and safe food supply chains, from farm to fork, as enabled by Artificial Intelligence (AI). Recent advances in machine and deep learning are used for effective food production, energy management and food labeling.
arxiv
Social Capital Contributions to Food Security: A Comprehensive Literature Review [PDF]
arXiv, 2020 Social capital creates a synergy that benefits all members of a community. This review examines how social capital contributes to the food security of communities. A systematic literature review, based on Prisma, is designed to provide a state-of-the-art review on capacity social capital in this realm.
arxiv
Sustainable Recipes. A Food Recipe Sourcing and Recommendation System to Minimize Food Miles [PDF]
arXiv, 2020 Sustainable Recipes is a tool that (1) connects food recipes ingredient lists with the closest organic providers to minimize the distance that food travels from farm to food preparation site and (2) recommends recipes given a GPS coordinate to minimize food miles.
arxiv