A Survey on Food Computing
Weiqing Min, Shuqiang Jiang, Linhu Liu, Yong Rui, Ramesh, Jain

TL;DR
This survey comprehensively reviews food computing, highlighting its applications, challenges, and recent advances in analyzing large-scale food data for health, culture, and societal benefits.
Contribution
It is the first systematic survey that formalizes food computing, summarizes key methods and tasks, and discusses future research directions in this emerging field.
Findings
Large-scale food data enables new insights into food-related issues.
Recent advances in computer science are transforming food data analysis.
Identifies key challenges and future directions in food computing.
Abstract
Food is very essential for human life and it is fundamental to the human experience. Food-related study may support multifarious applications and services, such as guiding the human behavior, improving the human health and understanding the culinary culture. With the rapid development of social networks, mobile networks, and Internet of Things (IoT), people commonly upload, share, and record food images, recipes, cooking videos, and food diaries, leading to large-scale food data. Large-scale food data offers rich knowledge about food and can help tackle many central issues of human society. Therefore, it is time to group several disparate issues related to food computing. Food computing acquires and analyzes heterogenous food data from disparate sources for perception, recognition, retrieval, recommendation, and monitoring of food. In food computing, computational approaches are applied…
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