如何对海量的视频信息进行有效地检索和查询，已经成为目前迫切需要解决的问题。
So how to effectively retrieve the interested video information from the large-scale dataset has become an urgent issue.
基于文本信息实现数字视频信息的检索，既符合一般用户的检索习惯，又可借助日趋成熟的文本检索技术。
Text-based digital video retrieval is not only in conformity with the user's retrieval habit, but also can make use of the ever-maturing text retrieval technology.
基于内容的体育节目分类是基于内容的视频信息分类检索的一个部分，是多媒体信息处理研究领域中的重要课题。
The sportscast classification based on content is an important portion of the content-based video information classification and retrieval and main topic in the multimedia information research.
本文主要针对基于内容的视频信息分类检索中的若干问题展开讨论研究，包括视频结构化、特征提取、特征优化以及特征分类等等。
In this paper, problems of the video information classification and retrieval are discussed, including video structuring, feature abstracting, feature optimizing and feature classifying, etc.
由于视频信息信息量大，内容丰富，使得对其进行有效的管理和检索成为一个困难而又必须解决的课题。
Because video information is heavy, and abundant in content, video effective management and search becomes a difficult subject.
由于视频信息信息量大，内容丰富，使得对其进行有效的管理和检索成为一个困难而又必须解决的课题。
Because video information is heavy, and abundant in content, video effective management and search becomes a difficult subject.
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