Large-scale concept ontology for multimedia

Large-scale concept ontology for multimedia
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DOI:
10.1109/mmul.2006.63
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发表时间:
2006-07-01
期刊:
影响因子:
3.2
通讯作者:
Curtis, Jon
Curtis, Jon
中科院分区:
计算机科学4区
文献类型:
--
作者:
Naphade, Milind;Smith, John R.;Curtis, Jon

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被引文献

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随着越来越强大的机器标记多媒体内容的技术的出现,标准化底层词汇表变得越来越重要。这样做提供了互操作性,并让多媒体社区将正在进行的研究集中在一组定义良好的语义上。本文介绍了多媒体研究人员,图书馆科学家和最终用户的合作努力,开发一个大型的标准化分类描述广播新闻视频。大规模多媒体概念本体(LSCOM)是同类中的第一个,旨在同时优化实用程序,以方便最终用户访问,覆盖大的语义空间,使自动提取可行,并增加在不同的广播新闻视频数据集的可观察性。
As increasingly powerful techniques emerge for machine tagging multimedia content, it becomes ever more important to standardize the underlying vocabularies. Doing so provides interoperability and lets the multimedia community focus ongoing research on a well-defined set of semantics. This paper describes a collaborative effort of multimedia researchers, library scientists, and end users to develop a large standardized taxonomy for describing broadcast news video. The large-scale concept ontology for multimedia (LSCOM) is the first of its kind designed to simultaneously optimize utility to facilitate end-user access, cover a large semantic space, make automated extraction feasible, and increase observability in diverse broadcast news video data sets.