A scheme on shot content analysis for two video retrieval applications, shot retrieval and scene structure extraction is presented.
提出了一种镜头内容分析方法及其在视频检索中的两个应用：镜头检索与场景结构提取。
Shot boundary detection is the first step of the video content analysis.
镜头边界检测是进行视频内容分析的首要步骤。
Shot clustering is an important aspect of video content analysis.
镜头聚类是视频内容分析的重要途径。
Shot clustering is an important issue in the field of video content analysis.
镜头聚类是视频内容分析的重要途径。
Shot detection is the first step in video content structured analysis.
镜头探测是视频内容结构化分析的第一步，也是非常关键的一步。
According to the student for this me the interest and the physics principle to "the running jump shot" the teaching order, the content has carried on the comprehensive analysis and the improvement.
为此我根据学生的兴趣及物理学原理对“三步上篮”的教学顺序，内容进行了全面的分析与改进。
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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