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Shot Boundary Detection Based on Distance Separability

机译:基于距离可分离的射击边界检测

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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:射击边界检测是基于内容的视频检索的第一个重要任务。在本文中,提出了一种新的SBD算法,旨在获得精确的检测,并用不同类型的视频进行评估其性能。该算法计算在类内和类之间的类之间的距离比,而不是两个帧之间的差异,这可以抵抗同一镜头中的灯光效应和相机/对象运动。实验结果表明,这种通用算法可以获得更高的精度和召回。

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