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。
Video shot detection is very crucial for content-based video analysis. Considering the importance of video shots, we propose a MPEG video shot detection based on decision tree.
压缩视频镜头的分割是视频内容分析中的一个难点，由于镜头在组织和索引视频中起关键性的作用，提出了一种基于决策树的MPEG视频镜头分割算法。
Video shot detection is very crucial for content-based video analysis. Considering the importance of video shots, we propose a MPEG video shot detection based on decision tree.
压缩视频镜头的分割是视频内容分析中的一个难点，由于镜头在组织和索引视频中起关键性的作用，提出了一种基于决策树的MPEG视频镜头分割算法。
应用推荐