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Standardized food images: A photographing protocol and image database

机译:标准化食品图像:照相协议和图像数据库

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摘要

The regulation of food intake has gained much research interest because of the current obesity epidemic. For research purposes, food images are a good and convenient alternative for real food because many dietary decisions are made based on the sight of foods. Food pictures are assumed to elicit anticipatory responses similar to real foods because of learned associations between visual food characteristics and post-ingestive consequences. In contemporary food science, a wide variety of images are used which introduces between-study variability and hampers comparison and meta-analysis of results. Therefore, we created an easy-to-use photographing protocol which enables researchers to generate high resolution food images appropriate for their study objective and population. In addition, we provide a high quality standardized picture set which was characterized in seven European countries. With the use of this photographing protocol a large number of food images were created. Of these images, 80 were selected based on their recognizability in Scotland, Greece and The Netherlands. We collected image characteristics such as liking, perceived calories and/or perceived healthiness ratings from 449 adults and 191 children. The majority of the foods were recognized and liked at all sites. The differences in liking ratings, perceived calories and perceived healthiness between sites were minimal. Furthermore, perceived caloric content and healthiness ratings correlated strongly (r >= 0.8) with actual caloric content in both adults and children. The photographing protocol as well as the images and the data are freely available for research use on http:/utritionalneuroscience.eu/. By providing the research community with standardized images and the tools to create their own, comparability between studies will be improved and a head-start is made for a world-wide standardized food image database. (C) 2015 Elsevier Ltd. All rights reserved.
机译:由于当前的肥胖病流行,食物摄入的调节已经引起了很多研究兴趣。出于研究目的,食物图像是真实食物的一种很好且方便的替代方法,因为许多饮食决定都是基于食物的外观。假定食物图片会引起类似于真实食物的预期反应,这是因为视觉食物特征与减味后后果之间的习得关联。在当代食品科学中,使用了各种各样的图像,这些图像引入了研究之间的变异性,并妨碍了比较和结果的荟萃分析。因此,我们创建了一个易于使用的照相协议,使研究人员能够生成适合其研究目标和人群的高分辨率食物图像。此外,我们提供了在七个欧洲国家/地区具有特色的高质量标准化图片集。通过使用这种照相协议,创建了许多食物图像。在这些图像中,根据其在苏格兰,希腊和荷兰的可识别性选择了80张。我们收集了449位成人和191位儿童的图像特征,例如喜好,感知的卡路里和/或感知的健康等级。大多数食品在所有地点都得到认可和喜欢。站点之间的喜好等级,感知的卡路里和感知的健康之间的差异很小。此外,在成人和儿童中,感知到的卡路里含量和健康等级与实际卡路里含量密切相关(r> = 0.8)。摄影协议以及图像和数据可从http:/utritionalneuroscience.eu/免费获得供研究使用。通过为研究团体提供标准化的图像和创建自己的工具,研究之间的可比性将得到改善,并为全球标准化食品图像数据库开创了先机。 (C)2015 Elsevier Ltd.保留所有权利。

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