{"title":"An Automatic Calorie Estimation System of Food Images on a Smartphone","authors":"Koichi Okamoto, Keiji Yanai","doi":"10.1145/2986035.2986040","DOIUrl":null,"url":null,"abstract":"In recent years, due to a rise in healthy thinking on eating, many people take care of their eating habits, and some people record daily diet regularly. To assist them, many mobile applications for recording everyday meals have been released so far. Some of them employ food image recognition which can estimate not only food names but also food calorie. However, most of such applications have some problems especially on their usability. Then, in this paper, we propose a novel single-image-based food calorie estimation system which runs on a smartphone as a standalone application without external recognition servers. The proposed system carries out food region segmentation, food region categorization, and calorie estimation automatically. By the experiments and the user study on the proposed system, the effectiveness of the proposed system was confirmed.","PeriodicalId":91925,"journal":{"name":"MADiMa'16 : proceedings of the 2nd International Workshop on Multimedia Assisted Dietary Management : October 16, 2016, Amsterdam, The Netherlands. International Workshop on Multimedia Assisted Dietary Management (2nd : 2016 : Amsterdam...","volume":"6 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2016-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"57","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MADiMa'16 : proceedings of the 2nd International Workshop on Multimedia Assisted Dietary Management : October 16, 2016, Amsterdam, The Netherlands. International Workshop on Multimedia Assisted Dietary Management (2nd : 2016 : Amsterdam...","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2986035.2986040","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 57

Abstract

In recent years, due to a rise in healthy thinking on eating, many people take care of their eating habits, and some people record daily diet regularly. To assist them, many mobile applications for recording everyday meals have been released so far. Some of them employ food image recognition which can estimate not only food names but also food calorie. However, most of such applications have some problems especially on their usability. Then, in this paper, we propose a novel single-image-based food calorie estimation system which runs on a smartphone as a standalone application without external recognition servers. The proposed system carries out food region segmentation, food region categorization, and calorie estimation automatically. By the experiments and the user study on the proposed system, the effectiveness of the proposed system was confirmed.
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智能手机上的食物图像自动卡路里估算系统
近年来,由于健康饮食思想的兴起,很多人都很注意自己的饮食习惯,有些人还会定期记录每天的饮食。为了帮助他们,目前已经发布了许多记录日常饮食的移动应用程序。其中一些采用食品图像识别,不仅可以估计食品名称,还可以估计食品的卡路里。然而,大多数此类应用程序都存在一些问题,特别是在可用性方面。然后,在本文中,我们提出了一种新的基于单图像的食物卡路里估计系统,该系统作为一个独立的应用程序运行在智能手机上,而不需要外部识别服务器。该系统实现了食品区域分割、食品区域分类和热量自动估计。通过对系统的实验和用户研究,验证了系统的有效性。
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Food Image Recognition Using Very Deep Convolutional Networks Session details: Keynote Address Innovative Technology and Dietary Assessment in Low-Income Countries GoCARB: A Smartphone Application for Automatic Assessment of Carbohydrate Intake Session details: Oral Paper Session 1
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