FOOD IMAGE ANALYSIS: THE BIG DATA PROBLEM YOU CAN EAT!
FOOD IMAGE ANALYSIS: THE BIG DATA PROBLEM YOU CAN EAT!
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食品图像分析：您可以吃的大数据问题！
DOI：
10.1109/acssc.2016.7869576
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Delp,EdwardJ
中科院分区：
文献类型：
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作者：
Wang,Yu;Fang,Shaobo;Liu,Chang;Zhu,Fengqing;Kerr,DeborahA;Boushey,CarolJ;Delp,EdwardJ
在美国，十大死亡原因中有六个与饮食直接相关。测量准确的饮食摄入量，确定某人吃什么的过程被认为是营养和健康领域的一个开放性研究问题。我们正在开发基于图像的工具，以便自动获取用户消费食物的准确估计。我们已经开发了一种新的食品记录应用程序使用嵌入式摄像头在移动终端。本文介绍了食品图像分析的现状，并概述了仍然需要解决的问题。
Six of the ten leading causes of death in the United States can be directly linked to diet. Measuring accurate dietary intake, the process of determining what someone eats is considered to be an open research problem in the nutrition and health fields. We are developing image-based tools in order to automatically obtain accurate estimates of what foods a user consumes. We have developed a novel food record application using the embedded camera in a mobile device. This paper describes the current status of food image analysis and overviews problems that still need to be addressed.