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Major decisions from governments and other large organizations rely on measurements of the populace's well-being, but making such measurements at a broad scale is expensive and thus infrequent in much of the developing world. We propose an…

Computer Vision and Pattern Recognition · Computer Science 2021-03-02 Jihyeon Lee , Dylan Grosz , Burak Uzkent , Sicheng Zeng , Marshall Burke , David Lobell , Stefano Ermon

Social media provide a wealth of information for research into public health by providing a rich mix of personal data, location, hashtags, and social network information. Among these, Instagram has been recently the subject of many…

Computers and Society · Computer Science 2016-03-16 Jaclyn Rich , Hamed Haddadi , Timothy M. Hospedales

Assessing dietary intake accurately remains an open and challenging research problem. In recent years, image-based approaches have been developed to automatically estimate food intake by capturing eat occasions with mobile devices and…

Information Retrieval · Computer Science 2019-10-16 Zeman Shao , Runyu Mao , Fengqing Zhu

In developing countries, building codes often are outdated or not enforced. As a result, a large portion of the housing stock is substandard and vulnerable to natural hazards and climate related events. Assessing housing quality is key to…

Machine Learning · Computer Science 2022-06-01 Chaofeng Wang , Sarah Elizabeth Antos , Jessica Grayson Gosling Goldsmith , Luis Miguel Triveno

Accurate assessment of dietary intake requires improved tools to overcome limitations of current methods including user burden and measurement error. Emerging technologies such as image-based approaches using advanced machine learning…

Computer Vision and Pattern Recognition · Computer Science 2021-10-06 Zeman Shao , Yue Han , Jiangpeng He , Runyu Mao , Janine Wright , Deborah Kerr , Carol Boushey , Fengqing Zhu

The demand for accurate food quantification has increased in the recent years, driven by the needs of applications in dietary monitoring. At the same time, computer vision approaches have exhibited great potential in automating tasks within…

Computer Vision and Pattern Recognition · Computer Science 2023-08-23 Valasia Vlachopoulou , Ioannis Sarafis , Alexandros Papadopoulos

Assessment of dietary intake has primarily relied on self-report instruments, which are prone to measurement errors. Dietary assessment methods have increasingly incorporated technological advances particularly mobile, image based…

Computer Vision and Pattern Recognition · Computer Science 2022-09-13 Gautham Vinod , Zeman Shao , Fengqing Zhu

Food security, a global concern, necessitates precise and diverse data-driven solutions to address its multifaceted challenges. This paper explores the integration of AI foundation models across various food security applications,…

Artificial Intelligence · Computer Science 2023-11-01 Mohamed R. Shoaib , Heba M. Emara , Jun Zhao

Worldwide, in 2014, more than 1.9 billion adults, 18 years and older, were overweight. Of these, over 600 million were obese. Accurately documenting dietary caloric intake is crucial to manage weight loss, but also presents challenges…

Computer Vision and Pattern Recognition · Computer Science 2016-06-21 Chang Liu , Yu Cao , Yan Luo , Guanling Chen , Vinod Vokkarane , Yunsheng Ma

Understanding the dynamics of food banks' demand from food insecurity is essential in optimizing operational costs and equitable distribution of food, especially when demand is uncertain. Hence, Gaussian Mixture Model (GMM) clustering is…

Applications · Statistics 2022-02-04 Rahul Srinivas Sucharitha , Seokcheon Lee

In 2023, 58.0% of the African population experienced moderate to severe food insecurity, with 21.6% facing severe food insecurity. Land-use and land-cover maps provide crucial insights for addressing food insecurity by improving…

Healthy urban forests comprising of diverse trees and shrubs play a crucial role in mitigating climate change. They provide several key advantages such as providing shade for energy conservation, and intercepting rainfall to reduce flood…

Computer Vision and Pattern Recognition · Computer Science 2025-04-22 Akshit Gupta , Remko Uijlenhoet

The nutritional quality of diets has significantly deteriorated over the past two to three decades, a decline often underestimated by the people. This deterioration, coupled with a hectic lifestyle, has contributed to escalating health…

Computer Vision and Pattern Recognition · Computer Science 2024-03-05 Assylzhan Izbassar , Pakizar Shamoi

Food market accessibility is a critical yet underexplored dimension of food systems, particularly in low- and middle-income countries. In this paper, we present a continent-wide assessment of spatial food market accessibility in Africa,…

Food is very essential for human life and it is fundamental to the human experience. Food-related study may support multifarious applications and services, such as guiding the human behavior, improving the human health and understanding the…

Computers and Society · Computer Science 2019-07-17 Weiqing Min , Shuqiang Jiang , Linhu Liu , Yong Rui , Ramesh Jain

When an individual purchases a home, they simultaneously purchase its structural features, its accessibility to work, and the neighborhood amenities. Some amenities, such as air quality, are measurable while others, such as the prestige or…

Econometrics · Economics 2019-10-22 Stephen Law , Brooks Paige , Chris Russell

In response to the increasing demand for efficient and non-invasive methods to estimate food weight, this paper presents a vision-based approach utilizing 2D images. The study employs a dataset of 2380 images comprising fourteen different…

Computer Vision and Pattern Recognition · Computer Science 2024-05-28 Chathura Wimalasiri , Prasan Kumar Sahoo

Measuring socioeconomic deprivation of cities in an accurate and timely fashion has become a priority for governments around the world, as the massive urbanization process we are witnessing is causing high levels of inequalities which…

Social and Information Networks · Computer Science 2014-11-20 Alessandro Venerandi , Giovanni Quattrone , Licia Capra , Daniele Quercia , Diego Saez-Trumper

Reliance on images for dietary assessment is an important strategy to accurately and conveniently monitor an individual's health, making it a vital mechanism in the prevention and care of chronic diseases and obesity. However, image-based…

Computer Vision and Pattern Recognition · Computer Science 2026-02-06 Gautham Vinod , Fengqing Zhu

Understanding food acquisition is crucial for developing strategies to combat food insecurity, a major public health concern. The emergence of large-scale mobile location data (typically exemplified by GPS data), which captures people's…

Computers and Society · Computer Science 2025-08-22 Duanya Lyu , Luyu Liu , Catherine Campbell , Yuxuan Zhang , Xiang Yan
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