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Video similarity measurement using spectrogram

机译:使用频谱图进行视频相似度测量

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A new video similarity measurement method is developed for video copy detection. The ordinal feature is transformed to spectrogram by Short-Time Fourier Transform to represent as a video signature. Similarity between video signatures was measured by using DTW algorithm. The experiments on the CC_WEB_VIDEO dataset show that accuracy of this algorithm is 19.6%, 11.7%, and 16.6% as high as Sliding Window, DTW and STD methods, respectively in both “minor edited” and “extensively edited” video categories.
机译:开发了一种新的视频相似度测量方法,用于视频副本检测。通过短时傅里叶变换将序数特征转换为频谱图,以表示为视频签名。使用DTW算法测量视频签名之间的相似性。 CC_WEB_VIDEO数据集的实验表明,此算法的准确性分别在“次要编辑”和“广泛编辑”的视频类别中分别为19.6%,11.7%和16.6%,分别为滑动窗口,DTW和STD方法。

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