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 …

Deep neural network for food image classification and nutrient identification: A systematic review

R Kaur, R Kumar, M Gupta - Reviews in Endocrine and Metabolic …, 2023 - Springer
Technology impacts human life in both the aspects such as positive and negative, which
helps in better communication and eliminating geographical boundaries. However, social …

Learning cross-modal embeddings with adversarial networks for cooking recipes and food images

H Wang, D Sahoo, C Liu, E Lim… - Proceedings of the …, 2019 - openaccess.thecvf.com
Food computing is playing an increasingly important role in human daily life, and has found
tremendous applications in guiding human behavior towards smart food consumption and …

A review on vision-based analysis for automatic dietary assessment

W Wang, W Min, T Li, X Dong, H Li, S Jiang - Trends in Food Science & …, 2022 - Elsevier
Background: Maintaining a healthy diet is vital to avoid health-related issues, eg,
undernutrition, obesity and many non-communicable diseases. An indispensable part of the …

DeepFood: food image analysis and dietary assessment via deep model

L Jiang, B Qiu, X Liu, C Huang, K Lin - IEEE Access, 2020 - ieeexplore.ieee.org
Food is essential for human life and has been the concern of many healthcare conventions.
Nowadays new dietary assessment and nutrition analysis tools enable more opportunities to …

[HTML][HTML] goFOODTM: An Artificial Intelligence System for Dietary Assessment

Y Lu, T Stathopoulou, MF Vasiloglou, LF Pinault… - Sensors, 2020 - mdpi.com
Accurate estimation of nutritional information may lead to healthier diets and better clinical
outcomes. We propose a dietary assessment system based on artificial intelligence (AI) …

A framework to estimate the nutritional value of food in real time using deep learning techniques

R Yunus, O Arif, H Afzal, MF Amjad, H Abbas… - IEEE …, 2018 - ieeexplore.ieee.org
There has been a rapid increase in dietary ailments during the last few decades, caused by
unhealthy food routine. Mobile-based dietary assessment systems that can record real-time …

Ingredient-guided region discovery and relationship modeling for food category-ingredient prediction

Z Wang, W Min, Z Li, L Kang, X Wei… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recognizing the category and its ingredient composition from food images facilitates
automatic nutrition estimation, which is crucial to various health relevant applications, such …

Vision-based food nutrition estimation via RGB-D fusion network

W Shao, W Min, S Hou, M Luo, T Li, Y Zheng, S Jiang - Food Chemistry, 2023 - Elsevier
With the development of deep learning technology, vision-based food nutrition estimation is
gradually entering the public view for its advantage in accuracy and efficiency. In this paper …

Food image classification with improved MobileNet architecture and data augmentation

S Phiphiphatphaisit, O Surinta - … of the 3rd International Conference on …, 2020 - dl.acm.org
The real-world food image is a challenging problem for food image classification, because
food images can be captured from different perspective and patterns. Also, many objects can …