Highlight extraction in soccer videos

J. Assfalg, M. Bertini, C. Colombo, A. Bimbo, W. Nunziati
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引用次数: 5

Abstract

Live logging and posterity logging are the two basic applications for video databases. The former aims at providing effective annotation of video in quasi-real time and supports extraction of meaningful clips from the live stream; the latter provides annotation for later reuse of video material and is the prerequisite for retrieval by content from video digital libraries. Both require that information is adequately structured with interchange format and that annotation is performed, to a great extent, automatically. The video information structure must encompass both low-intermediate level video organization and event relationships that define specific highlights and situations. Analysis of the visual data of the video stream permits hints to be extracted, events identified and highlights detected. All of this must be supported by a-priori knowledge of the subject and effective reasoning engines capable of capturing the inherent semantics of the visual events.
足球视频中的高亮提取
实时日志记录和事后日志记录是视频数据库的两种基本应用。前者旨在对视频进行准实时的有效标注,支持从直播中提取有意义的片段;后者为视频资料的重用提供注释,是视频数字图书馆内容检索的先决条件。两者都要求使用交换格式对信息进行充分的结构化处理,并且在很大程度上要求自动执行注释。视频信息结构必须包含低中级视频组织和事件关系,这些事件关系定义了特定的亮点和情况。对视频流的可视化数据进行分析,可以提取提示、识别事件并检测亮点。所有这些都必须得到对主题的先验知识和能够捕获视觉事件固有语义的有效推理引擎的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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