基于内容检索技术中必不可少的关键步骤就是图像特征的提取，其中可提取的特征有颜色、纹理和形状等。

Among the contend-based retrieval technologies, feature extraction is most important. For instance, color, texture and shape feature etc.

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文字信息在描述图象内容时起着重要的作用，因此文字提取及识别是基于内容视频检索的关键技术。

Text extraction is a key technique in content-based video retrieval as textual information plays an important role in describing the content of image.

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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.

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