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Summarizing Audiovisual contents of a Video Program

机译:总结视频节目的视听内容

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In this paper, we focus on video programs that are intended to disseminate information and knowledge such as news, documentaries, seminars, etc, and present an audiovisual summarization system that summarizes the audio and visual contents of the given video separately, and then integrating the two summaries with a partial alignment. The audio summary is created by selecting spoken sentences that best present the main content of the audio speech while the visual summary is created by eliminating du plicates/redundancies and preserving visually rich contents in the image stream. The alignment operation aims to synchronize each spoken sentence in the audio summary with its corresponding speaker's face and to preserve the rich content in the visual summary. A Bipartite Graph-based audiovisual alignment algorithm is developed to efficiently find the best alignment solution that satisfies these alignment requirements. With the proposed system, we strive to produce a video summary that: (1) provides a natural visual and audio content overview, and (2)maximizes the coverage for both audio and visual contents of the original video without having to sacrifice either of them.
机译:在本文中,我们将重点放在旨在传播新闻和纪录片,研讨会等信息和知识的视频节目上,并提出一种视听摘要系统,该系统将给定视频的视听内容分别进行汇总,然后整合两个部分对齐的摘要。通过选择最能代表音频语音主要内容的口语句子来创建音频摘要,而通过消除重复项/冗余并在图像流中保留视觉丰富的内容来创建视觉摘要。对齐操作旨在将音频摘要中的每个口语句子与其对应的说话者的面部同步,并在视觉摘要中保留丰富的内容。开发了一种基于二部图的视听对齐算法,以有效地找到满足这些对齐要求的最佳对齐解决方案。通过提出的系统,我们努力产生视频摘要,其中:(1)提供自然的视觉和音频内容概述,并且(2)最大化原始视频的音频和视觉内容的覆盖范围,而不必牺牲任何一个。

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