A Novel Anchorperson Detection Algorithm Based on Spatio-temporal Slice

Anan Liu, Sheng Tang, Yongdong Zhang, Jintao Li, Zhaoxuan Yang
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引用次数: 6

Abstract

For conveniently navigating and editing the news programs, it is very important to segment the video into meaningful units. The effective indexing of news videos can be fulfilled by the anchorperson shot because it is an indicator which denotes the occurrence of upcoming news stories. The paper presents a novel anchorperson detection algorithm based on spatio-temporal slice (STS). With STSpattern analysis, clustering and decision fusion, anchorperson shots can be detected for browsing news video. The large-scale experimental results demonstrate that the algorithm is accurate, robust and effective.
一种基于时空切片的主播检测算法
为了方便新闻节目的导航和编辑,将视频分割成有意义的单元是非常重要的。新闻视频的有效索引可以通过主播镜头来实现,因为它是一个指示即将发生的新闻事件发生的指标。提出了一种基于时空切片(STS)的主播检测算法。通过stpattern分析、聚类和决策融合,可以检测主播镜头,用于浏览新闻视频。大规模实验结果证明了该算法的准确性、鲁棒性和有效性。
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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