{"title":"内容已死:内容万岁!","authors":"Lexing Xie, David A. Shamma, Cees G. M. Snoek","doi":"10.1145/2393347.2393355","DOIUrl":null,"url":null,"abstract":"Panel Overview Multimedia content analysis has always held a major research role in the ACM Multimedia research community. Ten years ago, at ACM MM 2002, a panel debated on “Media Semantics: Who Needs It and Why?” [2] Today, the answer is obvious. Multimedia content analysis has burgeoned on a foundation of machine learning and data-intensive algorithms, and has influenced many recent applications, from finding faces to augmenting reality.","PeriodicalId":212654,"journal":{"name":"Proceedings of the 20th ACM international conference on Multimedia","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Content is dead: long-live content!\",\"authors\":\"Lexing Xie, David A. Shamma, Cees G. M. Snoek\",\"doi\":\"10.1145/2393347.2393355\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Panel Overview Multimedia content analysis has always held a major research role in the ACM Multimedia research community. Ten years ago, at ACM MM 2002, a panel debated on “Media Semantics: Who Needs It and Why?” [2] Today, the answer is obvious. Multimedia content analysis has burgeoned on a foundation of machine learning and data-intensive algorithms, and has influenced many recent applications, from finding faces to augmenting reality.\",\"PeriodicalId\":212654,\"journal\":{\"name\":\"Proceedings of the 20th ACM international conference on Multimedia\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 20th ACM international conference on Multimedia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2393347.2393355\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 20th ACM international conference on Multimedia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2393347.2393355","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
多媒体内容分析在ACM多媒体研究社区中一直扮演着重要的研究角色。十年前，在ACM MM 2002上，一个小组讨论了“媒体语义学:谁需要它，为什么?”[2]今天，答案显而易见。多媒体内容分析在机器学习和数据密集型算法的基础上迅速发展，并影响了许多最近的应用，从寻找面孔到增强现实。
Panel Overview Multimedia content analysis has always held a major research role in the ACM Multimedia research community. Ten years ago, at ACM MM 2002, a panel debated on “Media Semantics: Who Needs It and Why?” [2] Today, the answer is obvious. Multimedia content analysis has burgeoned on a foundation of machine learning and data-intensive algorithms, and has influenced many recent applications, from finding faces to augmenting reality.
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