因此，高效的体育视频分析很有必要。
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。
This thesis focuses on content-based video analysis and retrieval technology in sports video domain.
通过对体育比赛视频中的场地信息和运动信息的分析，提出了一种有效分割场地和运动员等对象的算法，并对此算法性能进行了讨论。
It proposes an efficient method to segment objects such as athletes and field in sport video by analyzing the information of visual and motion features.
提出了基于基本语义单元的体育视频内容分析框架，研究了这一框架中的慢镜头分析。
The main jobs in this paper lie in:1. It has proposed a framework based on Basic Semantic Unit (BSU) for sports video content analysis and has studied slow-motion replay analysis in the framework.
提出了基于基本语义单元的体育视频内容分析框架，研究了这一框架中的慢镜头分析。
The main jobs in this paper lie in:1. It has proposed a framework based on Basic Semantic Unit (BSU) for sports video content analysis and has studied slow-motion replay analysis in the framework.
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