{"title":"Real-Time Recognition of Signboards with Mobile Device using Deep Learning for Information Identification Support System","authors":"Shigeo Kitamura, Kota Kita, Mitsunori Matsushita","doi":"10.1145/3267782.3274674","DOIUrl":null,"url":null,"abstract":"In this paper, a framework that uses deep learning on a server to recognize signboards in streets with mobile devices is proposed. The proposed framework enables a user to determine the type of shops in his/her location. Our experimental results revealed that the proposed framework recognized signboards with an 86% accuracy within 1 second.","PeriodicalId":126671,"journal":{"name":"Proceedings of the 2018 ACM Symposium on Spatial User Interaction","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2018 ACM Symposium on Spatial User Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3267782.3274674","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, a framework that uses deep learning on a server to recognize signboards in streets with mobile devices is proposed. The proposed framework enables a user to determine the type of shops in his/her location. Our experimental results revealed that the proposed framework recognized signboards with an 86% accuracy within 1 second.