纹理特征作为基本的视觉特征之一，在基于内容的遥感图像检索中得到了广泛的应用。
As one of the fundamental visualized characters, texture feature is used widely in the Content-based Remote Sensing Images 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.
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.
音频特征提取是音频分类的基础，而音频分类又是基于内容的音频检索的关键。
Feature extraction is the foundation of audio classification, while audio classification is a key of content based audio retrieval.
形状特征提取和表示是基于内容图像检索的重要研究内容之一。
Shape feature extraction and description are one of important research topics in content-based image retrieval.
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.
首先叙述了基于内容的图像检索的系统模型和特点，接着针对颜色、纹理和形状进行了概率特征提取、相似度量等的进一步具体分析讨论。
It presents the model and feature of content-based image retrieval system, and then discusses some methods of feature abstraction and similarity measurement based on color, texture and shape.
在医学信息领域，对医学图像物理特征的研究有助于实现图像的自动分析和基于内容的检索。
In medical informatics, the study of medical images 'physical features contributes to implement auto analysis and content-based retrieval.
为了从海量遥感影像库中提取需要的图象，必须应用影像本身具有的特征实施基于内容的遥感影像检索。
In order to get interested images from vast Remote Sensing images, it is necessary to retrieve image based on content by using features in RS image.
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.
介绍了基于内容图像检索中多种颜色的特征提取和匹配算法，以及加权欧几里得距离、中心距的加权距离、直方图交集算法等。
Introduces color feature extraction and matching algorithms in content-based image retrieval, such as weighted Euclidean-distance, weighted centre distance, histogram intersection algorithm, etc.
结合鱼病图像的实际，本文研究并实现了用形状特征、颜色特征和纹理特征分别进行基于内容的图像检索方法。
Considering the fact of the ill fish image, the paper researched and presented the algorithm of content based image retrieval that was according to the represent shape, color or vein in image.
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.
引入基于内容的检索方法，为使用户方便的根据特征或例子进行照片查询。分析和设计了人事档案管理系统中的照片的特征索引机制。
Using content based retrieval, design the photo feature index mechanism in a Personnel File Management System, which will offer users great convenience to inquire by feature or example.
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.
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.
准确提取视频高层语义特征，有助于更好地进行基于内容的视频检索。
Extracting high level features from video accurately benefits the content-based video retrieval.
基于内容的图像检索是根据描述图像视觉内容的特征向量进行相似性检索，其中图像视觉内容的提取可以是通用的，也可以是基于特定领域的。
Content based image retrieval is to perform the similarity retrieval according to the image features representing the image content, which may be extracted in the generic or specific domain.
为此，提出基于静态内容特征和运动特征结合检索的方案。
We put forward a set of scheme of news video retrieval, based on integrated static and motion content feature.
目的自动获取CT图像特征，提出实现基于内容的CT图像数据库检索新方法。
Objective to propose a new method for content-based retrieval from medical ct image database on the basis of automatically extracted features of the images.
面对这种研究现状，本文详细分析了基于内容的图像检索的各种特征提取方法、相似性度量方法以及相关反馈技术等。
According to that, the paper expatiates on key technologies used in CBIR researches, such as feature extracting, similarity measuring, and relevance feedback, etc.
本文主要针对基于内容的视频信息分类检索中的若干问题展开讨论研究，包括视频结构化、特征提取、特征优化以及特征分类等等。
In this paper, problems of the video information classification and retrieval are discussed, including video structuring, feature abstracting, feature optimizing and feature classifying, etc.
在基于内容的图像检索系统中，图像低层特征和图像所表达高层概念之间的不一致性导致系统出现语义鸿沟问题。
In content-based image retrieval systems, the inconsistency between image low-level features and the concept of high-level expressed by images lead to system semantic gap problem.
低层视觉特征提取、高维数据索引机制和相关反馈方法是面向大规模图像库基于内容检索的三个关键问题。
Visional feature extraction, high dimensional indexing mechanism and relevance feedback are three important issues in content-based image retrieval.
大容量多媒体数据库的基于内容相似性的检索本质上是高维特征空间中一定距离函数的K近邻问题。
Searches based on content similarities in large multimedia libraries are essentially K nearest neighbor searches in high dimensional Spaces.
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 dissertation, the basic principles and key techniques in the Content-based animation image retrieval technology are researched and analyzed, especially the feature extraction technology.
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.
传统的基于内容的图像检索主要依赖颜色、纹理、形状、空间关系等单一视觉特征，检索效果往往不够理想。
Traditionally image retrieval mainly relies on single feature such as color, texture, shape and spatial relationship, etc., so the result is usually not so good.
传统的基于内容的图像检索主要依赖颜色、纹理、形状、空间关系等单一视觉特征，检索效果往往不够理想。
Traditionally image retrieval mainly relies on single feature such as color, texture, shape and spatial relationship, etc., so the result is usually not so good.
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