Automatic linguistic indexing of pictures is an important but highly challenging problem for researchers in content-based image retrieval.
图片自动语义标注是基于内容图像检索中很重要且很有挑战性的工作。
In content-based image retrieval, color features are widely used.
在基于内容的图像检索中，颜色特征已得到广泛应用。
Image retrieval algorithms is the core of content-based image retrieval.
基于内容的图像检索的核心就是图像检索算法。
Color histogram is the most usually used method of content-based image retrieval.
颜色直方图法是基于内容的图像检索系统通常采用的方法。
In recent years, the content-based image retrieval (CBIR) system is a hot research topic.
近年来，基于内容的图像检索系统(CBIR)是一个热门的研究话题。
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。
The evaluation of texture similarity is very important in content-based image retrieval systems.
纹理相似性研究是基于内容检索研究中的一个重要组成部分。
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。
Shape feature extraction and description are one of important research topics in content-based image 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。
A novel automatic image annotation approach is proposed to bridge the semantic gap of content-based image retrieval.
针对图像检索中的语义鸿沟问题，提出了一种新颖的自动图像标注方法。
Therefore, content-based image retrieval techniques have emerged, and it become hot in the field of image retrieval research.
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。
Fractal coding has been proved useful for image compression, and it is also proved effective for content-based image retrieval.
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。
Visional feature extraction, high dimensional indexing mechanism and relevance feedback are three important issues in content-based image retrieval.
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。
This paper presents a color images region growing method based on online learning algorithm, which is used for content-based image retrieval systems.
论文阐述了一种基于在线学习算法的彩色图像区域增长法，用于解决基于内容的图像检索系统。
Finally, based on the key technologies of content-based image retrieval, a development example of content-based animation image retrieval was presented.
最后根据对基于内容图像检索关键技术的研究与分析，本文给出了一个基于内容的动漫图像检索系统的开发实例。
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。
In this paper, a novel system for content-based image retrieval is designed and created, which combines image semantics based on a multi-level model for image description.
该系统利用了一个多级图像描述模型将语义特征结合到图像检索技术中。
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.
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.
借助于颜色游程的概念，提出了一种基于游程矩阵的彩色图像特征描述方法，并在此基础上定义了两种图像相似性测度。
By analyzing the character of necktie pattern and studying image retrieval algorithm, an approach to content-based image retrieval for necktie pattern is proposed in this paper.
针对领带花形图像的具体特征，研究了适用于该类图像的检索算法。
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.
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。
But each feature of image can only catch one aspect of the similarity of image, how to represent images better has become a important research field in content-based image retrieval.
但是，由于图像的每种特征只能抓住图像相似性的某一个方面，因此如何能更好地表示图像就成为基于内容图像检索中一个重要的研究方向。
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.
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。
This paper focuses on the relevance feedback techniques in content based image retrieval and try to make this paper helpful for research and application of content-based image retrieval.
本文主要针对基于内容的图像检索中的相关反馈技术展开研究，希望通过本文的工作能够对基于内容图像检索领域的研究和应用有所帮助。
Contour grouping is used to identify desired structure from noisy image, and very important to many advanced visual problems, such as target recognition and content-based image retrieval.
轮廓编组可以用来在噪声图像中识别显著结构，在许多高级视觉问题中，如目标识别和基于内容的图像检索等，有很重要的作用。
Introduces color feature extraction and matching algorithms in content-based image retrieval, such as weighted Euclidean-distance, weighted centre distance, histogram intersection algorithm, etc.
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。
This paper presents the design and implementation of a content-based image retrieval system which acquires effective and efficient similar shape retrieval using a modified geometric hashing technique.
文中介绍了一个基于内容的图像检索系统的设计和实现，它利用改进的几何散列技术能够获得快速而且准确的相似形状检索。
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.
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。
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。
At first, we introduce the current research situation of CBIR (Content-based image retrieval) both at home and abroad, basic theories, inquiry ways and application fields.
首先介绍了国内外基于内容的图象检索系统的研究现状，基本原理，查询方式以及应用领域。
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