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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…

计算机视觉与模式识别 · 计算机科学 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…

计算机与社会 · 计算机科学 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…

信息检索 · 计算机科学 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In developing countries, building codes often are outdated or not enforced.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…

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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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,…

人工智能 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

应用统计 · 统计学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机与社会 · 计算机科学 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…

计量经济学 · 经济学 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…

计算机视觉与模式识别 · 计算机科学 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…

社会与信息网络 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

计算机与社会 · 计算机科学 2025-08-22 Duanya Lyu , Luyu Liu , Catherine Campbell , Yuxuan Zhang , Xiang Yan
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