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基于语境描述的语义多媒体信息检索

Semantic Multimedia Information Retrieval Based on Contextual Descriptions
课程网址: http://videolectures.net/eswc2013_steinmetz_semantic/  
主讲教师: Nadine Steinmetz, Jens Lehmann
开课单位: 莱比锡大学
开课时间: 2013-07-08
课程语种: 英语
中文简介:
具有适当语义实体的文本信息的语义分析和注释是使得能够对注释数据进行基于内容的搜索的基本任务。对于视频资源,文本信息很少见。但是近年来,从视听内容中自动提取文本信息的技术的发展已经发展。此外,视频门户允许视频使用作者和用户的标签和评论进行注释。所有这些信息一起形成视频元数据,其以各种方式多种多样。通过利用不同元数据类型的特征,可以确定上下文以实现可靠和可靠的语义分析并且支持理解视频内容的准确性。本文提出了一种用于语义分析的视频元数据描述模型,其中考虑了各种上下文因素。
课程简介: Semantic analysis and annotation of textual information with appropriate semantic entities is an essential task to enable content based search on the annotated data. For video resources textual information is rare at first sight. But in recent years the development of technologies for automatic extraction of textual information from audio visual content has advanced. Additionally, video portals allow videos to be annotated with tags and comments by authors as well as users. All this information taken together forms video metadata which is manyfold in various ways. By making use of the characteristics of the different metadata types context can be determined to enable sound and reliable semantic analysis and to support accuracy of understanding the video’s content. This paper proposes a description model of video metadata for semantic analysis taking into account various contextual factors.
关 键 词: 语义实体; 注释数据; 视频元数据
课程来源: 视频讲座网
最后编审: 2019-04-14:lxf
阅读次数: 76