美食形象分析：大数据问题你能吃！

Conference record. Asilomar Conference on Signals, Systems & Computers Pub Date : 2016-11-01 Epub Date: 2017-03-06 DOI:10.1109/ACSSC.2016.7869576

Yu Wang, Shaobo Fang, Chang Liu, Fengqing Zhu, Deborah A Kerr, Carol J Boushey, Edward J Delp

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引用次数: 0

摘要

在美国，十大主要死因中有六个与饮食直接相关。测量准确的饮食摄入量，即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研究问题。我们正在开发基于图像的工具，以便自动获得用户消费食物的准确估计。我们在移动设备中使用嵌入式摄像头开发了一种新颖的食物记录应用程序。本文介绍了食品图像分析的现状，并概述了仍需解决的问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

FOOD IMAGE ANALYSIS: THE BIG DATA PROBLEM YOU CAN EAT!

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FOOD IMAGE ANALYSIS: THE BIG DATA PROBLEM YOU CAN EAT!

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.

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来源期刊

Conference record. Asilomar Conference on Signals, Systems & Computers

CiteScore

1.40

自引率

0.00%

发文量