Medical image database is the important and effective means of medical image data retrieval and analysis in clinical diagnosis, education and research.
医学影像数据库及信息系统是医学影像数据有效检索与分析的重要手段，是医学临床、教育与研究的基础。
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。
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。
There are usually few training samples in the tasks of content-based remote sensing image retrieval, which will lead to over-learning problem while using this small data set for training.
提出一种基于多分类器协同训练的遥感图像检索方法，该方法在不同特征集上分别建立分类器，利用不同分类器的协同性自动标记未知样本，从而有效解决了小样本问题。
BMP computer image is the easiest to understand because it does not use compression, making pixel data retrieval much easier.
一个BMP计算机图像是最容易理解的，因为它不使用压缩，同时也使得读取图像像素点变得容易。
This paper proposes a novel cross-media retrieval approach, which can process multimedia data of different modalities and measure cross-media similarity, such as image-audio similarity.
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。
First, retrieval model of measured data is constituted, and the radiation from the surface of target is obtained by retrieving the shot infrared image in one spectral band.
该方法首先对实测红外数据建立反演模型，由热像仪拍摄所得某波段红外图像得到目标表面的真实红外辐射。
This paper constructs some water-depth retrieval models of Xiyang water area based on the field data of depth and MODIS image data of spectral reflectance.
本文利用西洋水域的MODIS影像光谱数据与现场测量的水深数据建立多种统计相关模型进行分析研究。
Therefore the research focusing on image catalog data expressing mode, data storage and organization and retrieval algorithm based on catalog data has great theoretical and practical significance.
因此，对影像编目数据的表达方式、存储组织以及基于编目数据的遥感影像检索算法的研究具有十分重要的理论和实际意义。
Efficient indexing schemes for high-dimensional data are important for Content-Based Image Retrieval, with theoretical and applicable value as result.
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.
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。
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