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Summarization of Video Programs Based on Closed Captions

机译:基于闭路字幕的视频节目汇总

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摘要

Today the consumers are facing an ever-increasing amount of television programs. The problem, however, is that the content of video programs is opaque. The existing video watching options for consumers are either to watch the whole video, fast forward to try and find the relevant portion, or to use electronic program guides (EPG) to get additional information. In this paper we will present a summarization system for processing incoming video, extracting and analyzing closed caption text, determining the boundaries of program segments as well as commercial breaks and extracting a program summary from a complete broadcast to enable video transparency. The system consists of: transcript extractor, program type classifier, cue extractor, knowledge database, temporal database, inference engine, and summarizer. The main topics that will be discussed are video summary, video categorization, and retrieval tools.
机译:如今,消费者正面临着越来越多的电视节目。然而,问题在于视频节目的内容是不透明的。面向消费者的现有视频观看选项是观看整个视频,快进尝试查找相关部分,或使用电子节目指南(EPG)获得更多信息。在本文中,我们将提供一个摘要系统,用于处理传入的视频,提取和分析隐藏字幕文本,确定节目片段的边界以及商业广告时段,并从完整的广播中提取节目摘要以实现视频透明性。该系统包括:成绩单提取器,程序类型分类器,提示提取器,知识数据库,时态数据库,推理引擎和汇总器。将讨论的主要主题是视频摘要,视频分类和检索工具。

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