{"title":"留意你的照片:移动设备上的自动图像标签","authors":"Nina Runge, Dirk Wenig, R. Malaka","doi":"10.1145/2628363.2634225","DOIUrl":null,"url":null,"abstract":"In this paper we present how to tag images automatically based on the image and sensor data from a mobile device. We developed a system that computes low-level tags using the image itself and meta data. Based on these tags and previous user tags we learn high-level tags. With a client-server-implementation we source out computational expensive algorithms to recommend the tags as fast as possible. We show what are the best feature extraction methods in combination with a machine learning technique to recommend good tags.","PeriodicalId":74207,"journal":{"name":"MobileHCI : proceedings of the ... International Conference on Human Computer Interaction with Mobile Devices and Services. MobileHCI (Conference)","volume":"16 1","pages":"513-518"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Keep an eye on your photos: automatic image tagging on mobile devices\",\"authors\":\"Nina Runge, Dirk Wenig, R. Malaka\",\"doi\":\"10.1145/2628363.2634225\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we present how to tag images automatically based on the image and sensor data from a mobile device. We developed a system that computes low-level tags using the image itself and meta data. Based on these tags and previous user tags we learn high-level tags. With a client-server-implementation we source out computational expensive algorithms to recommend the tags as fast as possible. We show what are the best feature extraction methods in combination with a machine learning technique to recommend good tags.\",\"PeriodicalId\":74207,\"journal\":{\"name\":\"MobileHCI : proceedings of the ... International Conference on Human Computer Interaction with Mobile Devices and Services. MobileHCI (Conference)\",\"volume\":\"16 1\",\"pages\":\"513-518\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MobileHCI : proceedings of the ... International Conference on Human Computer Interaction with Mobile Devices and Services. MobileHCI (Conference)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2628363.2634225\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MobileHCI : proceedings of the ... International Conference on Human Computer Interaction with Mobile Devices and Services. MobileHCI (Conference)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2628363.2634225","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Keep an eye on your photos: automatic image tagging on mobile devices
In this paper we present how to tag images automatically based on the image and sensor data from a mobile device. We developed a system that computes low-level tags using the image itself and meta data. Based on these tags and previous user tags we learn high-level tags. With a client-server-implementation we source out computational expensive algorithms to recommend the tags as fast as possible. We show what are the best feature extraction methods in combination with a machine learning technique to recommend good tags.