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 …

Over the past few decades, the food industry has undergone revolutionary changes due to
the impacts of globalization, technological advancements, and ever-evolving consumer …

Obesity is increasing worldwide and can cause many chronic conditions such as type-2
diabetes, heart disease, sleep apnea, and some cancers. Monitoring dietary intake through …

The increase in awareness of people toward their nutritional habits has drawn considerable
attention to the field of automatic food analysis. Focusing on self-service restaurants …

Numerous deep learning methods have been developed to tackle the challenges of
recognizing food images, including convolutional neural networks, deep feature extraction …

Food image recognition is a complex computer vision task, because of the large number of
fine-grained food classes. Fine-grained recognition tasks focus on learning subtle …

Automatically constructing a food diary that tracks the ingredients consumed can help
people follow a healthy diet. We tackle the problem of food ingredients recognition as a multi …

Food plays an important role in several aspects of our daily life. Several computer vision
approaches have been proposed for tackling food analysis problems, but very little effort has …

In this paper, deep feature extraction, feature concatenation and support vector machine
(SVM) classifier are used for efficient classification of food images. Classification of foods …

Food has become a very important aspect of our social activities. Since social networks and
websites like Yelp appeared, their users have started uploading photos of their meals to the …