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.
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.
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.
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.
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.
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系统涉及许多方面关键技术，如何准确有效的表示图像内容是其中的核心问题。
The key technologies of content-based image retrieval (CBIR) system contain a lot of aspects. The most important point is how to represent multimedia content accurately and completely.
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.
基于内容的多媒体数据查询和检索技术是数字图书馆中至关重要的一项技术。
Now, the content-based query and retrieval technology of multimedia data is becoming the key technology of Digital Libraries.
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.
镜头边界检测是基于内容视频检索中的关键技术。
Shot boundary detection is a key technology in content based video retrieval system.
关键帧提取技术是基于内容检索和视频分析的基础。
Key frame extraction is a fundamental processes for content-base video retrieval and video analysis.
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.
关键帧提取技术是视频分析和基于内容的视频检索的基础。
Key frame extraction is one of fundamental processes in video analysis and content-based video retrieval.
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.
提取关于坐标旋转不变的特征描述符以及提高特征描述符对噪声的鲁棒性是基于内容三维模型检索技术中有待进一步研究解决的问题之一。
How to extract the rotation invariant feature and improve the stability of the noise is still an unsolved problem of the area of content-based 3d models retrieval.
提取关于坐标旋转不变的特征描述符以及提高特征描述符对噪声的鲁棒性是基于内容三维模型检索技术中有待进一步研究解决的问题之一。
How to extract the rotation invariant feature and improve the stability of the noise is still an unsolved problem of the area of content-based 3d models retrieval.
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