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.
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