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Broadcast News Understanding and Navigation

机译:广播新闻理解与导航

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The Broadcast News Editor (BNE) and Broadcast News Navigator (BNN) are fully implemented systems that exploit integrated image, speech, and language processing to support intelligent access to broadcast news video. This paper summarizes the integration of a range of AI techniques within these systems to provide intelligent segmentation, extraction, search, summarization, visualization, and personalized multimedia generation. BNE and BNN transform video access from sequential to direct search, providing novel navigation and discovery mechanisms such as topical and entity-specific news clusters. We report an empirical evaluation that demonstrates users can find stories and answer questions nearly three times as fast as searching digital video with no loss in precision and recall.
机译:广播新闻编辑器(BNE)和广播新闻导航器(BNN)是完全实现的系统,它们利用集成的图像,语音和语言处理功能来支持对广播新闻视频的智能访问。本文总结了这些系统中各种AI技术的集成,以提供智能的分段,提取,搜索,汇总,可视化和个性化的多媒体生成。 BNE和BNN将视频访问从顺序搜索转换为直接搜索,提供了新颖的导航和发现机制,例如主题和特定于实体的新闻集群。我们报告了一项经验评估,该评估表明用户可以找到故事和回答问题的速度几乎是搜索数字视频的三倍,而准确性和召回率没有损失。

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