A survey on food computing

W Min, S Jiang, L Liu, Y Rui, R Jain - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
Food is essential for human life and it is fundamental to the human experience. Food-related
study may support multifarious applications and services, such as guiding human behavior …

A comprehensive survey of image-based food recognition and volume estimation methods for dietary assessment

GA Tahir, CK Loo - Healthcare, 2021 - mdpi.com
Dietary studies showed that dietary problems such as obesity are associated with other
chronic diseases, including hypertension, irregular blood sugar levels, and increased risk of …

[HTML][HTML] Artificial intelligence applications in the agrifood sectors

I Kutyauripo, M Rushambwa, L Chiwazi - Journal of Agriculture and Food …, 2023 - Elsevier
Food security is one of the priorities of every country in the World. However, different factors
are making it difficult to meet global targets on food security. Some unprecedented shocks …

The deep features and attention mechanism-based method to dish healthcare under social IoT systems: An empirical study with a hand-deep local–global net

H Gao, K Xu, M Cao, J **ao, Q Xu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Many mobile apps of social Internet of Things (sIOT) systems can help us record and share
daily events, such as health and sport events. In fact, healthy diet recognition is an important …

Food recommendation: Framework, existing solutions, and challenges

W Min, S Jiang, R Jain - IEEE Transactions on Multimedia, 2019 - ieeexplore.ieee.org
A growing proportion of the global population is becoming overweight or obese, leading to
various diseases (eg, diabetes, ischemic heart disease and even cancer) due to unhealthy …

A study of multi-task and region-wise deep learning for food ingredient recognition

J Chen, B Zhu, CW Ngo, TS Chua… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Food recognition has captured numerous research attention for its importance for health-
related applications. The existing approaches mostly focus on the categorization of food …

Ingredient-guided cascaded multi-attention network for food recognition

W Min, L Liu, Z Luo, S Jiang - Proceedings of the 27th ACM International …, 2019 - dl.acm.org
Recently, food recognition is gaining more attention in the multimedia community due to its
various applications, eg, multimodal foodlog and personalized healthcare. Most of existing …

Deep understanding of cooking procedure for cross-modal recipe retrieval

JJ Chen, CW Ngo, FL Feng, TS Chua - Proceedings of the 26th ACM …, 2018 - dl.acm.org
Finding a right recipe that describes the cooking procedure for a dish from just one picture is
inherently a difficult problem. Food preparation undergoes a complex process involving raw …

FoodAI: Food image recognition via deep learning for smart food logging

D Sahoo, W Hao, S Ke, W **ongwei, H Le… - Proceedings of the 25th …, 2019 - dl.acm.org
An important aspect of health monitoring is effective logging of food consumption. This can
help management of diet-related diseases like obesity, diabetes, and even cardiovascular …

Dynamic mixup for multi-label long-tailed food ingredient recognition

J Gao, J Chen, H Fu, YG Jiang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recognizing the ingredients composition for given food images facilitates the estimation of
nutrition facts, which is crucial to various health relevant applications. Nevertheless …