A Survey on Food Computing

doi:10.1145/3329168

	A Survey on Food Computing
	Min, Weiqing 1; Jiang, Shuqiang 1; Liu, Linhu 1; Rui, Yong 2; Jain, Ramesh 3
	2019-10-01
发表期刊	ACM COMPUTING SURVEYS
ISSN	0360-0300
卷号	52 期号:5 页码:36
摘要	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, improving 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 different sources for perception, recognition, retrieval, recommendation, and monitoring of food. In food computing, computational approaches are applied to address food-related issues in medicine, biology, gastronomy, and agronomy. Both large-scale food data and recent breakthroughs in computer science are transforming the way we analyze food data. Therefore, a series of works has been conducted in the food area, targeting different food-oriented tasks and applications. However, there are very few systematic reviews that shape this area well and provide a comprehensive and in-depth summary of current efforts or detail open problems in this area. In this article, we formalize food computing and present such a comprehensive overview of various emerging concepts, methods, and tasks. We summarize key challenges and future directions ahead for food computing. This is the first comprehensive survey that targets the study of computing technology for the food area and also offers a collection of research studies and technologies to benefit researchers and practitioners working in different food-related fields.
关键词	Food computing food recognition health food perception food retrieval recipe analysis recipe recommendation monitoring survey
DOI	10.1145/3329168
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61972378] ; National Natural Science Foundation of China[61602437] ; National Natural Science Foundation of China[61532018] ; Lenovo Outstanding Young Scientists Program ; National Program for Special Support of Eminent Professionals ; National Program for Support of Top-notch Young Professionals ; China Postdoctoral Science Foundation[2017T100110]
WOS研究方向	Computer Science
WOS类目	Computer Science, Theory & Methods
WOS记录号	WOS:000496755500006
出版者	ASSOC COMPUTING MACHINERY
引用统计	被引频次：180[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/14806
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Jiang, Shuqiang
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing, Peoples R China 2.Lenovo Grp, 6 Shangdi West Rd, Beijing, Peoples R China 3.Univ Calif Irvine, Dept Comp Sci, Irvine, CA USA
推荐引用方式 GB/T 7714	Min, Weiqing,Jiang, Shuqiang,Liu, Linhu,et al. A Survey on Food Computing[J]. ACM COMPUTING SURVEYS,2019,52(5):36.
APA	Min, Weiqing,Jiang, Shuqiang,Liu, Linhu,Rui, Yong,&Jain, Ramesh.(2019).A Survey on Food Computing.ACM COMPUTING SURVEYS,52(5),36.
MLA	Min, Weiqing,et al."A Survey on Food Computing".ACM COMPUTING SURVEYS 52.5(2019):36.