Because scenes have much difference in appearance, we adopt unsupervised scene clustering for its universality, which groups video shots with similar visual content into same cluster.
对于视频来说，由于存在较大的场景差异，因此采用无监督的场景聚类，达到通用性的目的。
Experimental result shows that the method can get a better accuracy, well operability and universality in the research of semantic concepts of video.
实验结果表明，该方法在视频语义概念提取的研究中，有较高的准确度、可操作性强。
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