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Avoiding false positive due to flashlights in shot detection using illumination suppression algorithm

机译:由于使用照明抑制算法,由于手射击检测中的手电筒导致假阳性

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Existence of flashlights in videos leads to false detection of scene change. Many algorithms have been suggested to either detect the flashlight or differentiate between flashlight and abrupt transition. All the existing algorithms have certain limitation in terms of restriction on duration of flashlights, nature of flashlight, threshold selection and computation time. To address these practical problems we propose a novel algorithm based on discrete cosine transform and discrete wavelet transform. This method suppress illuminations and increase the difference between frames at abrupt transition location with respect to illumination. Proposed algorithm also suggest automatic threshold for shot detection in addition to fast computation. As illuminations are suppressed independent of the duration and nature of flashlight, almost all false detection due to flashlight is avoided. This illumination suppression algorithm can also be the first preprocessing block for existing methods. The proposed algorithm is tested on various movie videos and experimental results validate the effectiveness of the method to avoid false positive due to flashlight.
机译:视频中的手电筒存在导致场景变化的错误检测。已经提出了许多算法来检测手电筒或区分手电筒和突然转换。所有现有算法在限制时都有一定的限制,对手电筒的持续时间,手电筒的性质,阈值选择和计算时间的限制。为了解决这些实际问题,我们提出了一种基于离散余弦变换和离散小波变换的新型算法。该方法抑制照明并增加相对于照明的突然转换位置之间的帧之间的差异。提出的算法还提出了除了快速计算之外的拍摄检测的自动阈值。随着照明的抑制无关,与手电筒的持续时间和性质无关,避免了由于手电筒引起的几乎所有错误检测。该照明抑制算法也可以是现有方法的第一个预处理块。在各种电影视频上测试了所提出的算法,实验结果验证了该方法的有效性,以避免由于手电筒引起的误报。

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