Modeling Restaurant Context for Food Recognition

doi:10.1109/TMM.2016.2614861

	Modeling Restaurant Context for Food Recognition
	Herranz, Luis; Jiang, Shuqiang; Xu, Ruihan
	2017-02-01
发表期刊	IEEE TRANSACTIONS ON MULTIMEDIA
ISSN	1520-9210
卷号	19 期号:2 页码:430-440
摘要	Food photos are widely used in food logs for diet monitoring and in social networks to share social and gastronomic experiences. A large number of these images are taken in restaurants. Dish recognition in general is very challenging, due to different cuisines, cooking styles, and the intrinsic difficulty of modeling food from its visual appearance. However, contextual knowledge can be crucial to improve recognition in such scenario. In particular, geocontext has been widely exploited for outdoor landmark recognition. Similarly, we exploit knowledge about menus and location of restaurants and test images. We first adapt a framework based on discarding unlikely categories located far from the test image. Then, we reformulate the problem using a probabilistic model connecting dishes, restaurants, and locations. We apply that model in three different tasks: dish recognition, restaurant recognition, and location refinement. Experiments on six datasets show that by integrating multiple evidences (visual, location, and external knowledge) our system can boost the performance in all tasks.
关键词	Food recognition image recognition location mobile applications probabilistic modeling.
DOI	10.1109/TMM.2016.2614861
收录类别	SCI
语种	英语
资助项目	National Basic Research 973 Program of China[2012CB316400] ; National Natural Science Foundation of China[61550110505] ; National Natural Science Foundation of China[61532018] ; National Natural Science Foundation of China[61322212] ; National High Technology Research and Development 863 Program of China[2014AA015202] ; pal Commission of Science and Technology[D161100001816001] ; Lenovo Outstanding Young Scientists Program
WOS研究方向	Computer Science ; Telecommunications
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
WOS记录号	WOS:000395795800017
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：37[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/2XEOYT63/7542
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Herranz, Luis
作者单位	Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Herranz, Luis,Jiang, Shuqiang,Xu, Ruihan. Modeling Restaurant Context for Food Recognition[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2017,19(2):430-440.
APA	Herranz, Luis,Jiang, Shuqiang,&Xu, Ruihan.(2017).Modeling Restaurant Context for Food Recognition.IEEE TRANSACTIONS ON MULTIMEDIA,19(2),430-440.
MLA	Herranz, Luis,et al."Modeling Restaurant Context for Food Recognition".IEEE TRANSACTIONS ON MULTIMEDIA 19.2(2017):430-440.