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。
A set algebraic model that can uni1 ~ the keywords-based relation query and content-based retrieval is presented.
提出了一种能够把图像关系查询和基于内容查询相统一的集合代数模型。
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。
Storage matrix of multimedia data is assayed in this paper. Meanwhile, this paper states the content-based retrieval technique of multimedia data.
本文从多媒体数据的定义及组成入手，分析了目前常用的多媒体数据存储模型，并阐述了基于内容多媒体数据检索技术。
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。
This article explains the various content retrieval options you can use and when to use each one based upon my experience of working with DB2 content Manager, Version 8.
根据我使用DB 2ContentManagerVersion 8的经验，本文解释了您可以使用的各种内容检索选项，以及何时使用这些选项。
Text extraction is a key technique in content-based video retrieval as textual information plays an important role in describing the content of image.
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。
Selecting episode representation frame is one of the important processes in video semantic analysis and content-based video retrieval.
情节代表帧选取方法是视频语义分析和基于内容的视频检索的很重要的方法。
Video object segmentation has important application in content-based video encoding and video retrieval.
视频对象分割在基于内容的视频编码和视频检索中均有重要的应用。
Shot boundary detection is the first essential step in content-based video retrieval.
镜头边界检测是基于内容的视频检索首先要解决的问题。
The segmentation for moving pictures is important in content-based video encoding and video retrieval.
运动图像的分割在基于内容的视频编码及视频检索中占有重要的地位。
At first, we summarize the key techniques used in the content-based video retrieval, such as shots division, video character analysis, shots clustering, etc.
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。
In this basis, the relevance feedback technology and relevance feedback model of content-based image retrieval.
在此基础上，引入基于内容的图像相关性反馈技术及相关性反馈模型。
Because computer can understand the meaning of metadata carried by RDF, our searching engine can provide information retrieval based on concept or content.
由于计算机可以理解rdf描述和携带的元数据的含义，因此可以做到基于内容的精确检索。
A novel automatic image annotation approach is proposed to bridge the semantic gap of content-based image retrieval.
针对图像检索中的语义鸿沟问题，提出了一种新颖的自动图像标注方法。
Feature extraction is the foundation of audio classification, while audio classification is a key of content based audio retrieval.
音频特征提取是音频分类的基础，而音频分类又是基于内容的音频检索的关键。
The content-based 3d model retrieval is one of the hot research problems in the multimedia information retrieval.
基于内容的3d模型检索是多媒体信息检索的热点研究问题之一。
In this paper, constructing object description model in content based image retrieval system is focused on.
研究了基于内容的图像检索系统中的目标描述模型的建立方法。
Scene change detection is one of fundamental processes in video analysis and content based video retrieval.
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。
As one of the fundamental visualized characters, texture feature is used widely in the Content-based Remote Sensing Images Retrieval.
纹理特征作为基本的视觉特征之一，在基于内容的遥感图像检索中得到了广泛的应用。
Using content based retrieval, design the photo feature index mechanism in a Personnel File Management System, which will offer users great convenience to inquire by feature or example.
引入基于内容的检索方法，为使用户方便的根据特征或例子进行照片查询。分析和设计了人事档案管理系统中的照片的特征索引机制。
Using content based retrieval, design the photo feature index mechanism in a Personnel File Management System, which will offer users great convenience to inquire by feature or example.
引入基于内容的检索方法，为使用户方便的根据特征或例子进行照片查询。分析和设计了人事档案管理系统中的照片的特征索引机制。
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