{"title":"社交多媒体的地理位置估计:迈向地理相关性的新概念","authors":"M. Larson","doi":"10.1145/2661118.2662960","DOIUrl":null,"url":null,"abstract":"In this talk, I take a look back at five years of geo-location estimation for social multimedia, by reviewing the main insights of the MediaEval Placing Task. I then examine the notion of 'geo-relevance' the way that human users perceive the relationship between an image or a video and a location. I argue that new notions of geo-relevance are necessary for users to receive full benefit from technology that predicts geo-location for multimedia. Our work, rather than being near finished, has only just begun.","PeriodicalId":120638,"journal":{"name":"GeoMM '14","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Geo-Location Estimation for Social Multimedia: Towards New Notions of Geo-Relevance\",\"authors\":\"M. Larson\",\"doi\":\"10.1145/2661118.2662960\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this talk, I take a look back at five years of geo-location estimation for social multimedia, by reviewing the main insights of the MediaEval Placing Task. I then examine the notion of 'geo-relevance' the way that human users perceive the relationship between an image or a video and a location. I argue that new notions of geo-relevance are necessary for users to receive full benefit from technology that predicts geo-location for multimedia. Our work, rather than being near finished, has only just begun.\",\"PeriodicalId\":120638,\"journal\":{\"name\":\"GeoMM '14\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"GeoMM '14\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2661118.2662960\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"GeoMM '14","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2661118.2662960","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Geo-Location Estimation for Social Multimedia: Towards New Notions of Geo-Relevance
In this talk, I take a look back at five years of geo-location estimation for social multimedia, by reviewing the main insights of the MediaEval Placing Task. I then examine the notion of 'geo-relevance' the way that human users perceive the relationship between an image or a video and a location. I argue that new notions of geo-relevance are necessary for users to receive full benefit from technology that predicts geo-location for multimedia. Our work, rather than being near finished, has only just begun.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
