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A new cut detection algorithm with constant false-alarm ratio for video segmentation

机译:一种具有恒定误报率的视频分割检测算法

摘要

In this paper, a new cut detection algorithm with constant false-alarm ratio (CFAR) is proposed for video segmentation. In our method, a theoretical threshold determination strategy using the non-parameter based CFAR processing technique is developed to achieve a controllable precision as well as an evaluative recall performance for video cut detection. Simulation results show that this algorithm leads to very good detection performance as compared to the existing techniques.
机译:本文提出了一种新的具有恒定误报率(CFAR)的剪切检测算法,用于视频分割。在我们的方法中,开发了使用基于非参数的CFAR处理技术的理论阈值确定策略,以实现可控制的精度以及用于视频剪辑检测的评估召回性能。仿真结果表明,与现有技术相比,该算法具有很好的检测性能。

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