数字图书馆网络服务的监测   总被引：2，自引：0，他引：2  

庄纪林 《大学图书馆学报》2008,26(3):38-42,45

数字图书馆通常是一个分布式的松散耦合的多系统构成的庞大的应用服务体系,采用"安装代理"和"远程登录"的商业化网络服务监测软件并不适用于数字图书馆网络服务的监测。在分析数字图书馆网络服务特点的基础上提出了"基于内容"的数字图书馆网络服务监测方案,解决了数字图书馆网络服务体系中只有"访问权限"而没有"管理权限"的网络服务的监测问题。  相似文献   

JPEG 2000在数字图书馆的应用   总被引：1，自引：0，他引：1  

王翠英 《新世纪图书馆》2004,(5):27-28

论文介绍了JPEG2000图像压缩标准的特点及其在数字图书馆图像压缩、基于内容的检索、非线性视频编辑等方面的应用。  相似文献   

数字图书馆中主动信息过滤系统的构建研究   总被引：6，自引：0，他引：6       下载免费PDF全文

焦玉英  王娜 《中国图书馆学报》2007,33(4)

设计了一个结合使用协作过滤和基于内容过滤的主动信息过滤的实验系统。其结构框架的主要部分有:智能代理、检索服务器、用户需求文档数据库、过滤服务器、结果处理器和推送服务器。它采用机器学习的机制来预测用户新的兴趣。  相似文献   

基于高斯混合模型的图像检索算法研究     

肖维 《人天科学研究》2011,10(4):48-50

通过研究聚类算法在图像处理上的应用,提出了一种基于高斯混合模型聚类的图像检索方法。该检索方法首先提取每幅图像的特征,并以特征值为数据集建立高斯混合模型,得到所有图像的高斯混合模型。再以所有图像的混合模型参数集作为数据集,用基于高斯混合模型的聚类算法进行聚类。最后输出检索例图所在的类,即得到检索结果。  相似文献   

Δ-distance: A family of dissimilarity metrics between images represented by multi-level feature vectors     

Marta Rukoz  Maude Manouvrier  Geneviève Jomier 《Information Retrieval》2006,9(6):633-655

This article presents the Δ-distance, a family of distances between images recursively decomposed into segments and represented by multi-level feature vectors. Such a structure is a quad, a quin or a nona-tree resulting from a fixed and arbitrary image partition or from an image segmentation process. It handles positional information of image features (e.g. color, texture or shape). Δ-distance is the generalized form of dissimilarity measures between multi-level feature vectors. Using different weights on tree nodes and different distances between nodes, distances between trees or visual similarity between images can be computed based on the general definition of Δ. In this article, we present three Δ-based distance families: two families of distances between tree structures, called -distance( for Tree) and -distance ( for Segment), and a family of visual distances between images, called ( for Visual). The -distance visually compares two images using their tree representation and the other two distances compare the tree structures resulting from image segmentation. Moreover, we show how existing distances between multi-level feature vectors appear to be particular cases of the Δ-distance  相似文献   

Color image retrieval technique based on color features and image bitmap     

Tzu-Chuen Lu  Chin-Chen Chang 《Information processing & management》2007

The field of color image retrieval has been an important research area for several decades. For the purpose of effectively retrieving more similar images from the digital image databases, this paper uses the color distributions, the mean value and the standard deviation, to represent the global characteristics of the image. Moreover, the image bitmap is used to represent the local characteristics of the image for increasing the accuracy of the retrieval system. As the experimental results indicated, the proposed technique indeed outperforms other schemes in terms of retrieval accuracy and category retrieval ability. Furthermore, the total memory space for saving the image features of the proposed method is less than Chan and Liu’s method.  相似文献   

依托式教学模式对应用型人才培养的启示   总被引：1，自引：0，他引：1  

郭小纯 《桂林师范高等专科学校学报》2012,26(2):37-39

介绍依托式教学（CBI）模式的理论及在大学英语教学中的应用,阐述转型时期应用型人才培养模式的意义,旨在探讨高校应用型人才培养模式改革的相应对策。  相似文献   

基于内容的图像检索系统研究   总被引：9，自引：0，他引：9  

文燕平 《现代图书情报技术》2001,17(1):45-47

回顾了图像检索系统的发展过程, 全面综述了在图像检索, 尤其是基于内容的图像检索领域的技术和现状, 探讨了图像检索系统中的关键技术, 并介绍了一些著名的图像检索系统, 最后就图像检索系统的新成果进行了详细阐述。  相似文献   

Brain CT image database building for computer-aided diagnosis using content-based image retrieval     

Kehong Yuan  Zhen Tian  Jiying Zou  Yanling Bai  Qingshan You 《Information processing & management》2011

Content-based image retrieval for medical images is a primary technique for computer-aided diagnosis. While it is a premise for computer-aided diagnosis system to build an efficient medical image database which is paid less attention than that it deserves. In this paper, we provide an efficient approach to develop the archives of large brain CT medical data. Medical images are securely acquired along with relevant diagnosis reports and then cleansed, validated and enhanced. Then some sophisticated image processing algorithms including image normalization and registration are applied to make sure that only corresponding anatomy regions could be compared in image matching. A vector of features is extracted by non-negative tensor factorization and associated with each image, which is essential for the content-based image retrieval. Our experiments prove the efficiency and promising prospect of this database building method for computer-aided diagnosis system. The brain CT image database we built could provide radiologists with a convenient access to retrieve pre-diagnosed, validated and highly relevant examples based on image content and obtain computer-aided diagnosis.  相似文献   

Flash动画的内容特征分析与图像信息提取研究   总被引：5，自引：0，他引：5  

刘菲  孟祥增 《现代教育技术》2009,19(12):91-94

Flash动画是网络上流行的媒体,由文本、图形、图像、声音等多种媒体元素组成,文章基于Flash动画的文件结构,通过分析Flash动画的内容特征,建立内容特征提取平台,完成图像信息的提取,为Flash动画的图像特征建立索引库,是基于内容的Flash动画检索系统的研发工作的一部分。  相似文献