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Shot Boundary Detection Based on Distance Separability

机译:基于距离可分离性的镜头边界检测

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摘要

Shot boundary detection is the first important task of content-based video retrieval. In this paper, a new SBD algorithm is proposed aiming to obtain accurate detection, and its performances are evaluated with different types of video. This algorithm computes distance ratio between within-class and between-class of two group frames, rather than the difference between two frames, which can resist light effects and camera/object movements in the same shot. The experimental results show that this universal algorithm can gain higher precision and recall.
机译:镜头边界检测是基于内容的视频检索的首要任务。本文提出了一种新的SBD算法,旨在获得准确的检测结果,并针对不同类型的视频对其性能进行了评估。该算法计算两个组帧的类内和类之间的距离比,而不是两个帧之间的差,这可以抵抗同一镜头中的灯光效果和相机/对象移动。实验结果表明,该通用算法具有较高的精度和查全率。

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