Broadcast news navigation using story segmentation

Andrew Merlino, Daryl Morey, M. Maybury
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引用次数: 123

Abstract

In this paper we examine tire developed techniques and lessons learned in an operational multimedia exploitation system, Broadcast News Editor (BNE) and Broadcast News Navigator (BNN). BNE captures, analyzes, annotates, segments, summarizes, and stores broadcast news audio, video and textual data within tlte context of multimedia database system BNN provides web based retrieval tools from the multimedia database system. TJle key innovation of this system is the detection and segmentation of story segments from the multimedia broadcast stream. TJtis paper discusses: . TJte utility of using story segments to discover broadcast news stories of interest . Tlte textual, video, and audio cues used for story segment detection . Teclmiques developed for identifying story segments . Details of tlte operational BNE and BNN system BNE and BNN are currently used every evening at MJTRE’s Multimedia Researclz Lab and to this point have automatically processed over 6011 news stories from over 349 broadcasts of CNN Prime News ‘t?
使用故事分割的广播新闻导航
在本文中,我们研究了在一个可操作的多媒体开发系统,广播新闻编辑器(BNE)和广播新闻导航器(BNN)中开发的技术和经验教训。BNE在多媒体数据库系统的上下文中捕获、分析、注释、分段、总结和存储广播新闻音频、视频和文本数据。BNN提供基于web的多媒体数据库系统检索工具。本系统的关键创新点在于对多媒体广播流中的故事片段进行检测和分割。本文讨论:。使用故事片段来发现感兴趣的广播新闻故事的实用程序。用于故事片段检测的文本、视频和音频线索。为识别故事片段而开发的技术。BNE和BNN系统的详细操作BNE和BNN系统目前每天晚上在MJTRE的多媒体研究实验室使用,到目前为止,已经自动处理了来自CNN黄金新闻349多个广播的6011个新闻故事。
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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