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 …

Food understanding from digital media has become a challenge with important applications
in many different domains. On the other hand, food is a crucial part of human life since the …

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 …

Nutrient-based meal recommendations have the potential to help individuals prevent or
manage conditions such as diabetes and obesity. However, learning people's food …

We propose a mobile food recognition system, FoodCam, the purposes of which are
estimating calorie and nutrition of foods and recording a user's eating habits. In this paper …

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 …

Food recommender systems play an important role in assisting users to identify the desired
food to eat. Deciding what food to eat is a complex and multi-faceted process, which is …

Logging food and calorie intake has been shown to facilitate weight management.
Unfortunately, current food logging methods are time-consuming and cumbersome, which …

We propose a method for dietary assessment to automatically identify and locate food in a
variety of images captured during controlled and natural eating events. Two concepts are …

Food recognition is one of the most important components in image-based dietary
assessment. However, due to the different complexity level of food images and inter-class …