It is still a great challenge to integrate all the information above to establish a general model for content-based video analysis and retrieval.
怎样将这三种信息有机的综合起来，形成通用的视频分析与检索模型，目前仍然是该领域一个极富挑战性的课题。
This thesis focuses on content-based video analysis and retrieval technology in sports video domain.
本论文面向体育视频领域，研究基于内容的视频分析和检索技术。
It is important to properly organize the unstructured video data for content-based video analysis and retrieval.
合理地组织视频数据对于基于内容的视频分析和检索有着重要的意义。
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。
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