{"title":"来自社区贡献多媒体的知识发现","authors":"Tao Mei, Winston H. Hsu, Jiebo Luo","doi":"10.1109/MMUL.2010.82","DOIUrl":null,"url":null,"abstract":"This special issue presents a concise reference of state-of-the-art efforts in the attempts for knowledge discovery in large-scale community-contributed multimedia, and in particular the opportunities and challenges in this nascent arena. The guest editors have selected five articles that represent ways to exploit the user-contributed photos and videos for several applications and that identify the theoretical challenges associated with managing such multimedia data.","PeriodicalId":290893,"journal":{"name":"IEEE Multim.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Knowledge Discovery from Community-Contributed Multimedia\",\"authors\":\"Tao Mei, Winston H. Hsu, Jiebo Luo\",\"doi\":\"10.1109/MMUL.2010.82\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This special issue presents a concise reference of state-of-the-art efforts in the attempts for knowledge discovery in large-scale community-contributed multimedia, and in particular the opportunities and challenges in this nascent arena. The guest editors have selected five articles that represent ways to exploit the user-contributed photos and videos for several applications and that identify the theoretical challenges associated with managing such multimedia data.\",\"PeriodicalId\":290893,\"journal\":{\"name\":\"IEEE Multim.\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Multim.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMUL.2010.82\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Multim.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMUL.2010.82","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Knowledge Discovery from Community-Contributed Multimedia
This special issue presents a concise reference of state-of-the-art efforts in the attempts for knowledge discovery in large-scale community-contributed multimedia, and in particular the opportunities and challenges in this nascent arena. The guest editors have selected five articles that represent ways to exploit the user-contributed photos and videos for several applications and that identify the theoretical challenges associated with managing such multimedia data.