Firstly, the basic theory and frame of content-based image retrieval technology are introduced.
首先对基于内容图像检索技术的基本原理和框架进行了概要介绍。
At present, the content-based image retrieval technology becomes the mainstream of image retrieval.
目前，基于内容的图像检索技术成为图像检索的主流。
This paper discusses digital library and image from three aspects: image form, image making and processing, image retrieval technology.
本文从图像格式、图像加工与处理和图像检索技术三个方面论述数字图书馆与图像。
The system combines various technologies including multimedia, media storage, data organization, data model and image retrieval technology.
该系统综合运用了多媒体、媒体存储、数据组织和表示方法、图像检索技术等。
CBIR is an image retrieval technology, which synthesizes various visual features in digital image, such as color, textual, and shapes features.
基于内容的图像检索是一种利用图像的颜色、纹理、形状等视觉特征进行图像检索的技术。
In order to overcome the deficiencies of traditional image retrieval technology, we should extract the image content comprehensively, generally and objectively.
为了克服传统图像检索技术存在的缺陷，就需要全面、一般性和客观地提取出图像的内容。
In this dissertation, the basic principles and key techniques in the Content-based animation image retrieval technology are researched and analyzed, especially the feature extraction technology.
本文对基于内容的图像检索技术原理和关键技术做了研究和分析，特别是对图像的特征提取技术做了深入研究。
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。
In order to improve the performance of retrieval, relevance feedback technology has been introduced into image retrieval.
为了提高检索性能，将相关反馈技术引入图像检索。
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 introduces the principle and characteristics of multimedia information retrieval and elucidates content-based multimedia retrieval technology of image, video and audio.
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。
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.
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。
This paper introduces the basic theory, retrieval mode and critical technology of content-based image retrieval and illustrates some advanced image retrieval systems.
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。
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.
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。
Video retrieval technology, including digital image and video processing, has got a full improvement with the efforts of the researchers.
在国内外众多研究者的努力下，以数字图像处理、数字视频处理为核心的视频检索技术取得了长足的进展。
This paper introduced the technology of content based image indexing and retrieval concisely. It propose to increase high level semantic describe of image to approach visual sense of human being.
本文通过对现有基于内容图像标引及检索技术的简要介绍，提出应在现有系统中增加图像的高层语义概念描述，以更接近于人的视觉效果。
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.
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.
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 rapid increase of image resources makes it necessary to develop technology for efficient image indexing and retrieval.
图像资源的迅速增长使我们面临新的挑战，迫使人们对其索引与检索技术进行深入研究。
Kansei image retrieval is a new kind of retrieval technology with high complexity.
感性图像检索是一种新型的检索技术，这种检索具有较高的复杂性。
So, the Content Based image and Video retrieval technology comes into being and become an important research area in multimedia retrieval and image processing.
由此，基于内容的图像和视频检索技术得到了越来越多的重视，成为了多媒体信息检索和图像处理领域中的重要研究方向。
Image retrieval is an applicable field of the multimedia technology, which is wide in scope.
图像检索是有着广泛意义的多媒体应用领域。基于内容的图像检索属于较高层次上的检索。
A novel auto relevance feedback image retrieval method called the outer auto relevance feedback(OARF) is proposed based on the pseudo-relevance feedback technology.
针对如何在图像检索系统中客观地表达用户的感知，提出了一种基于粗糙集和遗传算法的相关反馈图像检索方法。
A novel auto relevance feedback image retrieval method called the outer auto relevance feedback(OARF) is proposed based on the pseudo-relevance feedback technology.
针对如何在图像检索系统中客观地表达用户的感知，提出了一种基于粗糙集和遗传算法的相关反馈图像检索方法。
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