A novel video shot boundary detection algorithm is presented based on the feature tracking.

针对视频镜头边界检测，提出了一种基于特征跟踪的新算法。

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This paper proposes an algorithm of shot boundary detection, which employs Support Vector Machine (SVM) to classify visual attention features based on the research results of psychology.

借鉴心理学中有关视觉注意的研究成果，提出了一种采用符合人类视觉注意的特征，并利用支持矢量机进行视频镜头边界检测的算法。

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This paper proposes a novel shot boundary detection and key-frame extraction algorithm, and a anchor person detection technique as well.

本文提出了一种新的通用镜头边界检测及关键帧提取算法，以及针对新闻中固定不变的一类镜头——口播镜头的识别算法。

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