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A novel scene change detection algorithm based on the 3D wavelet transform

机译:一种基于3D小波变换的新颖场景改变检测算法

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This paper proposes a novel scene change detection algorithm based on the 3D wavelet transform. In scene change including cut, dissolve and fade, the frames have particular temporal and spatial layouts. The dissolve and the fade have strong temporal and spatial correlation; on the contract the correlation of the cut is weak. The 3D wavelet transform can effectively express the correlation of the several successive frames since the low-frequency and high-frequency component coefficients have the proper statistics regularities which can effectively identify the shot transitions. Three features are computed to describe the correlation of the shot transitions, which are input to support vector machines for scene change detection. Experimental results show that the method is effective for the gradual shot transition detection.
机译:本文提出了一种基于3D小波变换的新颖场景变化检测算法。在现场变化包括切割,溶解和褪色,框架具有特定的时间和空间布局。溶解和淡化具有强烈的时间和空间相关性;在合同上,切割的相关性很弱。 3D小波变换可以有效地表达若干连续帧的相关性,因为低频和高频分量系数具有适当的统计规则,可以有效地识别镜头过渡。计算三个特征以描述拍摄转换的相关性,这是输入以支持场景变化检测的向量机器的输入。实验结果表明,该方法对逐步拍摄过渡检测有效。

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