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.
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.
基于内容的图像检索技术是当前多媒体数据库系统和数字图书馆研究中的一个热点。
Contentbased image retrieval is a hotspot in the research of multimedia database system and digital library.
实现数字图书馆中基于内容的视频检索的关键技术包括：视频数据建模、视频分割、视频索引、视频查询与浏览。
Key techniques for the realization of content-based video retrieval in digital library include video data modeling, video segmentation, video indexing, and video searching and browsing.
基于内容检索的病理信息管理系统中，目标分割技术始终是特征参数测量的一个重要环节。
For pathological information management system, which is based on content retrieving, technology of object segmentation is always an important part of parametric measurement.
本论文面向体育视频领域，研究基于内容的视频分析和检索技术。
This thesis focuses on content-based video analysis and retrieval technology in sports video domain.
多维索引技术是基于内容检索的图像数据库的关键技术。
Multidimensional indexing technology is the key technology of content-based retrieval in image database.
基于内容的图像检索技术是当今研究的热点领域之一。
The image search technique based on content becomes a hot research topic.
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。
Scene change detection is one of fundamental processes in video analysis and content based video retrieval.
进一步说，目前基于内容的视频检索的语义处理理论和技术仍有大量问题有待深入研究。
That is to say, a lot of problems concerning semantic processing theory and technology of CBVR need a further study.
基于内容的图像检索(CBIR)技术的研究主要包括两个方面：可视化特征提取和相似性度量。
The principal research of content based image retrieve (CBIR) includes two aspects: visual feature representation and similarity measurement.
由于图像数据中普遍存在的“语义鸿沟”问题，传统的基于内容的图像检索技术对于数字图书馆中的图像检索往往力不从心。
Because of the "semantic gap" which is often encountered in the image data, traditional CBIR technology cant deal with the problem of image retrieval in digital libraries sometimes.
图像检索技术是多媒体应用中的关键技术，现有的基于内容的图像检索技术大都是基于非压缩域的。
Image retrieval techniques are crucial in multimedia application, a number of retrieval techniques that operate in the pixel domain have been reported in the literature.
基于内容的图像检索技术依据图像的画面内容特征来检索图像库中与目标图像相似的图像。
The Content-based image retrieval technique search the image in the image library by the content features. The result is similar to the target image.
文中介绍了一个基于内容的图像检索系统的设计和实现，它利用改进的几何散列技术能够获得快速而且准确的相似形状检索。
This paper presents the design and implementation of a content-based image retrieval system which acquires effective and efficient similar shape retrieval using a modified geometric hashing technique.
本文主要针对基于内容的图像检索中的相关反馈技术展开研究，希望通过本文的工作能够对基于内容图像检索领域的研究和应用有所帮助。
This paper focuses on the relevance feedback techniques in content based image retrieval and try to make this paper helpful for research and application of content-based image retrieval.
本文介绍了基于内容图像检索的基本原理、检索方式和关键技术，并列举了几种较为先进的图像检索系统。
This paper introduces the basic theory, retrieval mode and critical technology of content-based image retrieval and illustrates some advanced image retrieval systems.
基于内容的图像数据库检索技术是当今的一个研究热点，国内外的许多研究机构都在从事这一课题的研究，并取得了一定的研究成果。
The retrieval technique of content-based image database is a focus of query technology studying nowadays, many institutes being engaged in this project have obtained some achievements home and abroad.
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 existing indexing technology of databases doesn t adapt to the retrieval of multi-dimensional space, especially the content-based retrieval on large multimedia database.
基于内容的图象数据库检索技术是当今的一个研究热点，国内外许多研究机构都在从事这一课题的研究，并取得了一定的研究成果。
The retrieval technique of content-based image database is a focus of study nowadays, many institutes being engaged in this project have obtained some achievements home and aboard.
本文介绍了多媒体信息检索的原理与特点，着重阐述了基于内容的图像检索、视频检索和音频检索技术。
This paper introduces the principle and characteristics of multimedia information retrieval and elucidates content-based multimedia retrieval technology of image, video and audio.
基于内容的图像数据库检索技术是当今的一个研究热点。
The retrieval technique of content-based image database is a focus of query technology studying nowadays.
基于内容的音频检索已成为多媒体检索技术的研究热点。
Content-based audio retrieval has been the studied hotspot of multimedia retrieval.
随着基于内容的图像检索技术的飞速发展，对称性检测技术不断完善，于是在更多的领域内得到了广泛地应用。
With the fast development of the retrieval of the image based on content, the technology of the detection of the symmetry becomes perfect step by step, so that it can be applied in sweeping areas.
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.
基于内容的图像检索技术是利用计算机图像处理和数据库管理系统，把图像的可视特征作为数据库检索的依据，对图像数据库进行近似检索。
Based on image Processing and database Management System, Content Based image Retrieval (CBIR) is employed to obtain approximate results from image database, using the visual feature of images.
基于内容的图像检索技术和基于语义的图像检索技术正是解决这一问题的有效途径。
Two effective ways has been proposed to solve the problem : one is content-based image retrieval(CBIR) technique which search target images by low-level content feature.
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。
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。
Storage matrix of multimedia data is assayed in this paper. Meanwhile, this paper states the content-based retrieval technique of multimedia data.
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