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Automatic Categorization of Shots in News Videos Based on the Temporal Relations

机译:基于时间关系的新闻视频镜头自动分类

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The development of new methods and technologies of video indexing and retrieval is stimulated by the growing amount of digital video data stored in Internet video collections, TV shows archives, video-on-demand systems, personal video archives offered by Web services, etc. The videos very frequently offered in the Web by broadcast channels are news videos and sports news videos. Content-based indexing of videos is based on the automatic detection of a video structure. A video shot is the main structural video unit. Shots can be of different categories such as intro or final animation, chart or table shots, anchor, reporter, statement, or interview shots, and finally the most informative report shots. The temporal aggregation results in grouping of shots into scenes of a given category. The paper examines the usefulness of the temporal aggregation method to select report shots and non-report shots in a news video.
机译:视频索引和检索的新方法和技术的发展受到Internet视频收藏,电视节目档案,视频点播系统,Web服务提供的个人视频档案等中存储的数字视频数据不断增长的刺激。广播频道在网络上经常提供的视频是新闻视频和体育新闻视频。视频的基于内容的索引编制基于视频结构的自动检测。视频镜头是主要的结构视频单元。镜头可以有不同的类别,例如简介或最终动画,图表或表格镜头,主播,记者,声明或采访镜头,最后是内容最丰富的报告镜头。时间聚集导致将镜头分组为给定类别的场景。本文研究了时间聚合方法在新闻视频中选择报告镜头和非报告镜头的有用性。

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