Bosch Marc, Schap TusaRebecca, Zhu Fengqing, Khanna Nitin, Boushey Carol J, Delp Edward J
Video and Image Processing Lab ( VIPER ), School of Electrical and Computer Engineering.
Department of Foods and Nutrition, Purdue University, West Lafayette, IN 47907, USA.
Proc (IEEE Int Conf Multimed Expo). 2011 Jul;2011. doi: 10.1109/ICME.2011.6012202. Epub 2011 Sep 6.
Of the 10 leading causes of death in the US, 6 are related to diet. Unfortunately, methods for real-time assessment and proactive health management of diet do not currently exist. There are only minimally successful tools for historical analysis of diet and food consumption available. In this paper, we present an integrated database system that provides a unique perspective on how dietary assessment can be accomplished. We have designed three interconnected databases: an image database that contains data generated by food images, an experiments database that contains data related to nutritional studies and results from the image analysis, and finally an enhanced version of a nutritional database by including both nutritional and visual descriptions of each food. We believe that these databases provide tools to the healthcare community and can be used for data mining to extract diet patterns of individuals and/or entire social groups.
在美国的十大主要死因中,有六种与饮食有关。不幸的是,目前尚不存在用于饮食实时评估和主动健康管理的方法。现有的饮食和食物消费历史分析工具成效甚微。在本文中,我们提出了一个集成数据库系统,该系统为如何完成饮食评估提供了独特的视角。我们设计了三个相互关联的数据库:一个图像数据库,包含由食物图像生成的数据;一个实验数据库,包含与营养研究相关的数据以及图像分析的结果;最后是一个营养数据库的增强版本,其中包括每种食物的营养和视觉描述。我们相信这些数据库为医疗保健界提供了工具,可用于数据挖掘以提取个人和/或整个社会群体的饮食模式。