{"title":"内容识别","authors":"Y. Yacobi","doi":"10.1145/1456520.1456521","DOIUrl":null,"url":null,"abstract":"Content identification can help link content to its legal creators. How robust can content identification become? In part-I of the talk we speculate about its asymptotic computational complexity (joint with Kivanc M. Mihcak), and in part-II we discuss the economics of such systems (joint with Gideon Yaniv; see full paper in this proceeding).","PeriodicalId":124354,"journal":{"name":"ACM Digital Rights Management Workshop","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Content identification\",\"authors\":\"Y. Yacobi\",\"doi\":\"10.1145/1456520.1456521\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Content identification can help link content to its legal creators. How robust can content identification become? In part-I of the talk we speculate about its asymptotic computational complexity (joint with Kivanc M. Mihcak), and in part-II we discuss the economics of such systems (joint with Gideon Yaniv; see full paper in this proceeding).\",\"PeriodicalId\":124354,\"journal\":{\"name\":\"ACM Digital Rights Management Workshop\",\"volume\":\"73 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Digital Rights Management Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1456520.1456521\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Digital Rights Management Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1456520.1456521","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
内容识别可以帮助将内容链接到其合法创作者。内容识别可以变得多健壮?在演讲的第一部分中,我们推测了它的渐近计算复杂性(与Kivanc M. Mihcak联合),在第二部分中,我们讨论了这种系统的经济学(与Gideon Yaniv;请参阅本文全文)。
Content identification can help link content to its legal creators. How robust can content identification become? In part-I of the talk we speculate about its asymptotic computational complexity (joint with Kivanc M. Mihcak), and in part-II we discuss the economics of such systems (joint with Gideon Yaniv; see full paper in this proceeding).