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Efficient video summarization based on a fuzzy video content representation

机译:基于模糊视频内容表示的高效视频摘要

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摘要

A fuzzy representation of visual content is proposed, which is useful for video summarization. In particular, a multidimensional fuzzy histogram is constructed for each video frame based on a collection of appropriate features, extracted using video sequence analysis techniques. Then, key frames are selected optimally by minimizing a cross correlation criterion. Experimental results and comparison with other known methods are presented to indicate the good performance of the proposed scheme on real life video recordings.
机译:提出了视觉内容的模糊表示,这对于视频摘要很有用。特别地,基于使用视频序列分析技术提取的适当特征的集合,为每个视频帧构造多维模糊直方图。然后,通过最小化互相关标准来最佳地选择关键帧。实验结果和与其他已知方法的比较表明了该方案在现实生活中的录像性能良好。

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