基于内容的图像检索的核心就是图像检索算法。
Image retrieval algorithms is the core of content-based image retrieval.
基于内容的图像检索己成为当今的一个研究热点。
In recent years, the research of content based image retrieval is a focus.
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.
基于内容的图像检索，属于图像分析的一个研究领域。
Content-based image retrieval, belong to the one research area of the image analysis.
在基于内容的图像检索中，颜色特征已得到广泛应用。
In content-based image retrieval, color features are widely used.
目前，基于内容的图像检索技术成为图像检索的主流。
At present, the content-based image retrieval technology becomes the mainstream of image retrieval.
基于内容的图像检索是当前图像数据库领域的一个研究热点。
Content Based image Retrieval is an important and fascinating point of the image database.
通过试验可以看出，以上方法用基于内容的图像检索有很好的效果。
Through testing, we can see that these methods for content-based image retrieval have very good results.
在基于内容的图像检索基础上，提出了基于高层语义词和颜色词检索。
This paper presents a new image retrieval method based on high-level semantics word and color name.
如何有效准确的表达图像特征是基于内容的图像检索技术的核心问题。
How to describe image characters efficiently and accurately is a core problem in CBIR.
传统的以浮点矢量形式表示的图像特征，是基于内容的图像检索技术的基础。
The traditional float vector based image feature is the base of content based image retrieval techniques.
在基于内容的图像检索中，图像的内容包括图像的低层视觉特征和高层语义。
The contents of image include low level visual features and high level semantic in image retrieval based on content.
在基于内容的图像检索中，颜色的空间分布密度能提供颜色在空间的分布信息。
The color spatial distribution density can provide the color spatial distribution information for CBIR(Content Based Image Retrieval).
肤色特征在MPEG4、基于内容的图像检索、虚拟现实等领域有着广泛的应用。
The features of skin color are wide used in the areas of MPEG4, content based image retrieve and virtual reality.
实验结果表明了该检索算法设计的可行性和对基于内容的图像检索准确率的提高。
Experimental results indicate that algorithm design is feasible and good for the improvement of the accuracy of the retrieving rate to content-based image.
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.
分形编码在图像压缩方面取得了很好的效果，同时也能够用于基于内容的图像检索。
Fractal coding has been proved useful for image compression, and it is also proved effective for content-based image retrieval.
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.
因此，基于内容的图像检索技术就应运而生，并逐渐地成为图像检索领域的研究热点。
Therefore, content-based image retrieval techniques have emerged, and it become hot in the field of image retrieval research.
Picitup是世界上领先的基于内容的图像检索服务的web3.0开发者和服务者。
Picitup is a leading web 3.0 developer and provider of content based image search services.
为了把用户模型嵌入到图像检索系统中，基于内容的图像检索领域引入了相关反馈机制。
Relevence feedback is used for CBIR in order to embed user model into image search.
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.
有效的高维索引机制是基于内容的图像检索的关键技术，具有重要的理论意义和应用价值。
Efficient indexing schemes for high-dimensional data are important for Content-Based Image Retrieval, with theoretical and applicable value as result.
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。
CBIR is an image retrieval technology, which synthesizes various visual features in digital image, such as color, textual, and shapes features.
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。
Image retrieval is an applicable field of the multimedia technology, which is wide in scope.
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.
将基于内容的图像检索方法运用在卫星图像的检索中，设计并实现了一个卫星云图图像检索系统。
The main achievement in this as below: this paper adopt Contented-Based Image retrieval method in cloud retrieval.
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.
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.
介绍了基于内容的图像检索的定义以及MPEG - 7中的视觉描述工具，分析了特征描述符的应用。
This paper introduces the definition of the content-based image retrieval and the visual description tools of MPEG-7, and analyzes the application of the feature descriptor.
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