A survey on food computing
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 …
study may support multifarious applications and services, such as guiding human behavior …
Toward storytelling from visual lifelogging: An overview
M Bolanos, M Dimiccoli… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Visual lifelogging consists of acquiring images that capture the daily experiences of the user
by wearing a camera over a long period of time. The pictures taken offer considerable …
by wearing a camera over a long period of time. The pictures taken offer considerable …
Im2Calories: towards an automated mobile vision food diary
We present a system which can recognize the contents of your meal from a single image,
and then predict its nutritional contents, such as calories. The simplest version assumes that …
and then predict its nutritional contents, such as calories. The simplest version assumes that …
Deep-based ingredient recognition for cooking recipe retrieval
Retrieving recipes corresponding to given dish pictures facilitates the estimation of nutrition
facts, which is crucial to various health relevant applications. The current approaches mostly …
facts, which is crucial to various health relevant applications. The current approaches mostly …
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 Xiao, 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 …
daily events, such as health and sport events. In fact, healthy diet recognition is an important …
Isia food-500: A dataset for large-scale food recognition via stacked global-local attention network
Food recognition has received more and more attention in the multimedia community for its
various real-world applications, such as diet management and self-service restaurants. A …
various real-world applications, such as diet management and self-service restaurants. A …
Wide-slice residual networks for food recognition
N Martinel, GL Foresti… - 2018 IEEE Winter …, 2018 - ieeexplore.ieee.org
Image-based food recognition pose new challenges for mainstream computer vision
algorithms. Recent works in the field focused either on hand-crafted representations or on …
algorithms. Recent works in the field focused either on hand-crafted representations or on …
Food recognition: a new dataset, experiments, and results
G Ciocca, P Napoletano… - IEEE journal of biomedical …, 2016 - ieeexplore.ieee.org
We propose a new dataset for the evaluation of food recognition algorithms that can be used
in dietary monitoring applications. Each image depicts a real canteen tray with dishes and …
in dietary monitoring applications. Each image depicts a real canteen tray with dishes and …
Multi-scale multi-view deep feature aggregation for food recognition
Recently, food recognition has received more and more attention in image processing and
computer vision for its great potential applications in human health. Most of the existing …
computer vision for its great potential applications in human health. Most of the existing …
Food/non-food image classification and food categorization using pre-trained googlenet model
A Singla, L Yuan, T Ebrahimi - … of the 2nd international workshop on …, 2016 - dl.acm.org
Recent past has seen a lot of developments in the field of image-based dietary assessment.
Food image classification and recognition are crucial steps for dietary assessment. In the …
Food image classification and recognition are crucial steps for dietary assessment. In the …