Audiovisual Anchorperson Detection for Topic-Oriented Navigation in Broadcast News

M. Haller, Hyoung‐Gook Kim, T. Sikora
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引用次数: 16

Abstract

This paper presents a content-based audiovisual video analysis technique for anchorperson detection in broadcast news. For topic-oriented navigation in newscasts, a segmentation of the topic boundaries is needed. As the anchorperson gives a strong indication for such boundaries, the presented technique automatically determines that high-level information for video indexing from MPEG-2 videos and stores the results in an MPEG-7 conform format. The multimodal analysis process is carried out separately in the auditory and visual modality, and the decision fusion forms the final anchorperson segments
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面向广播新闻主题导航的视听主播检测
提出了一种基于内容的广播新闻主播检测的视听视频分析技术。对于新闻广播中面向主题的导航,需要对主题边界进行分割。由于主播对这些边界给出了强烈的指示,因此所提出的技术自动确定用于从MPEG-2视频中索引视频的高级信息,并将结果存储为符合MPEG-7的格式。多模态分析过程分别在听觉和视觉模态上进行,决策融合形成最终的主播段
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