Text information retrieval is an important field in content-based retrieval of video.
提取文字信息是基于内容的视频检索中重要内容。
First, the paper discusses the architecture of content-based retrieval and structure of video data.
本文首先讨论了基于内容检索的体系结构及视频数据的结构；
Multidimensional indexing technology is the key technology of content-based retrieval in image database.
多维索引技术是基于内容检索的图像数据库的关键技术。
This paper presents the method of using histogram to implement content-based retrieval in compressed-video.
文章介绍了以直方图为工具实现压缩视频基于内容检索系统的方法。
In intelligent content-based retrieval, knowledge representation is one of the key problems that should be resolved.
在基于内容的智能检索中，多媒体信息的知识表示方式是应该首先解决的关键问题之一。
To realize the content-based retrieval and recovery of video, video segmentation into shots and its description are necessary.
为了实现基于内容的视频检索和恢复，必须将视频分割成不同的镜头，再对镜头进行描述。
In medical informatics, the study of medical images 'physical features contributes to implement auto analysis and content-based retrieval.
在医学信息领域，对医学图像物理特征的研究有助于实现图像的自动分析和基于内容的检索。
Based on dimension reduction, it puts forward a new indexing structure to improve the performance of content-based retrieval of large image databases.
在降维的基础上，建立了一个新的索引机制，并以此加速大规模图像库的基于内容检索的进程。
Objective to propose a new method for content-based retrieval from medical ct image database on the basis of automatically extracted features of the images.
目的自动获取CT图像特征，提出实现基于内容的CT图像数据库检索新方法。
The existing indexing technology of databases doesn t adapt to the retrieval of multi-dimensional space, especially the content-based retrieval on large multimedia database.
现有的数据库索引技术，普遍不能适应多维空间属性的搜索，特别是无法对大容量的多媒体数据进行基于内容的检索。
The technologies of content-based retrieval in digital libraries are expounded and the feature selection and storage strategy of the retrieval objects is discussed in the paper.
本文论述了数字图书馆的基于内容的各种检索技术，并讨论了检索对象的特征选择和存储策略。
The technologies of content-based retrieval in digital libraries are expounded and the feature selection and storage strategy of the retrieval objects is discussed in the paper.
本文论述了数字图书馆的基于内容的各种检索技术，并讨论了检索对象的特征选择和存储策略。
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