本文首先分析了基于内容的视频检索的关键技术。总结了镜头分割、视频流特征分析和镜头聚类方面的相关研究和算法。
At first, we summarize the key techniques used in the content-based video retrieval, such as shots division, video character analysis, shots clustering, etc.
主要研究了视频分析技术在目标检测中的应用，包括运动目标检测的任务和流程，以及常用的图像分割方法。
Then study in the video analysis technologies applied in target detection, include tasks and processes of moving target detection and commonly used methods of image segmentation.
文中从分析新闻视频场景所特有的结构特征入手，提出一种基于事件流的新闻视频场景分割方法。
This paper analyzes the structural features of news video and introduces a new method for scene segmentation based on events stream.
该文提出了一个基于内容的音频分析系统，对视频序列实现基于音频分析的场景检测和分割。
In this paper, a content-based audio data analysis system is proposed, which accepts video sequence and implements scene detection and segmentation from audio part.
可以把基于音频分析的方法作为视频场景检测的辅助手段，以获得更为准确的场景检测和分割。
Therefore, a method based on audio analysis can be applied as an auxiliary, so as to get more accurate scene detection and split.
场景分割技术是动态视频分析和基于内容的视频检索的基础。
Scene change detection is one of fundamental processes in video analysis and content based video retrieval.
文中将较为成熟的文本分析、语音处理、图像处理三种技术进行综合，互为补充，对视频流进行分割。
In this paper, we integrate text analysis, speech processing, image processing which are mature relatively to segment the video flow.
本文从镜头分割和分类分析了视频内容的语义结构。
In this paper, we mainly discuss semantic structure of content based video by shot segmentation and classification.
在视频序列的人体运动分析中，实时分割出运动的人体，是研究的起始关键步骤。
In the field of the analysis of human motion in the video sequence, segmenting the motion human body in real-time is the first key step.
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.
分析了监控视频的特点，提出了一种基于帧运动量计算和运动片段分割的监控视频摘要提取方法。
The characters of surveillance video are analyzed. The abstract extraction method based on the calculation of frame's motion and the division of motion segments is proposed.
提出一种利用三维场景模型对视频图像进行分析并实现图像分割的方法。
An algorithm for video sequence analysis and image segmentation by using 3d scene model is presented.
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。
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.
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