一种基于内容的HTML到XML转换策略

互联网应用系统中传统ＨＴＭＬ内容数据的重用及其与Ｗｅｂ中标准ＸＭＬ格式数据的互交换非常重要。通过对ＨＴＭＬ结构和语法特点的分析,文章定义了一种分离ＨＴＭＬ格式信息与表达有效语义的内容数据的标记规则,建立了该标记规则到ＸＭＬ模式的一种影射,从而实现了一种从ＨＴＭＬ内容到ＸＭＬ结构数据的转换策略。最后,在网页在线维护系统ＷＯＭＳ中应用该策略实现网站管理者对网页的在线维护。     

数据广播传输体系结构研究

在有线电视网、卫星通信、无线广播等数字信道中,数据广播业务不仅是对因特网互连信息传输结构的一种补充,而且也将构成一种新型的信息传输方式,即“播存”结构。文章针对数据广播传输体系结构进行了一定的研究,对数据广播传输层次模型、传输实现、协议设计、信息组织导引等内容进行了探讨。     

Real-time CAM-based Hough transform algorithm and its performance evaluation

Abstract. This paper proposes a highly parallel Hough transform algorithm for real-time straight-line extraction and its hardware implementation on a content-addressable memory (CAM). To achieve high-speed processing, incrementation for voting, which composes the Hough transform, and calculations for coordinate updating are carried out for the every scan line, not every edge pixel, and extracting maxima in Hough space is executed by parallel comparing. Moreover, variously weighted voting achieves more accurate line extraction in spite of the quantization error and noise in the image space. In the implementation, the CAM acts as a PE (processing-element) array that effectively performs highly parallel processing for the Hough transform and also as a memory for two-dimensional Hough space, and both voting and peak extraction are directly executed by the CAM. Evaluations of CAM hardware size, processing time and the accuracy of line extraction show that a real-time and high-resolution Hough transform for a 256256 picture can be achieved using a single CAM chip with current VLSI technology. This CAM-based Hough transform algorithm promises to be an important step towards the realization of a real-time and compact image-understanding system. Received: 15 August 1998 / Accepted: 15 March 2000     

一种从MPEG压缩视频流中提取关键帧的方法

在基于视频内容检索的多媒体系统中,由于需要进行镜头分割和提取关键帧,还需要用静态图象来表示视频内容以及该图象的特性进行分析,因此根据视频序列中相邻画面一般具有相似性和连续性这一镜头分割和关键帧提取的共同理论依据,构造了关键帧提取系统,它能直接提取关键帧,而不用先进行镜头分割,且只需要Ⅰ帧信息及其频域直流分量的信息,即能达到最小程度的解码,在关键帧的判定方面,通过分析当前镜头分割技术的特点及其发展方向,提出了质点等价法和基于宏块互异的方法。     

DCAF: An MPEG-21 Dynamic Content Adaptation Framework

Universal Multimedia Access aims at providing a gratifying end user-experience by either adapting the content, be it static or dynamic, to suit the usage environment or adapting the usage environment, be it client- or server-centric, to suit content. This paper presents our MPEG-21 Dynamic Content Adaptation Framework, acronym DCAF, which uses a fusion of Genetic Algorithms and Strength Pareto Optimality to adapt content in order to suit the usage environment.

音乐数据库的基于内容检索及一种基于ICA算法的按调查询系统的提出

目前音频数据库的研究相对于图象处于滞后,文中侧重音乐角度,结合MPEG标准和基于内容检索的应用,综述了音频检索的研究现状,分析了音频方面研究的特殊性和相关应用中的问题;并提出基于独立分量分析（ICA）的按调查询（QBH）的系统,较好地解决了特征提取中的鸡尾酒会效应问题。系统的查询结果置于三维声效环境中加速了查询。     

基于企业服务总线的内容管理系统的研究应用*

针对当前企业信息化建设和电子政务发展的特点,有效地结合了企业服务总线技术,提出了一种在J2EE平台上构建的分布式内容管理构架.以构建内容管理系统为例,描述了不同类型的数据如何在分布式平台之间高效实时地传递,如何解决信息异构和数据整合的问题.介绍了一些必要的相关知识,描述了如何用J2EE架构建立单个节点上的内容管理系统.运用ESB技术将部署的多个系统连接起来,最终构成该管理模型.     

s-HITSc: an improved model and algorithm for topic distillation on the Web

Topic distillation on the Web, namely, finding quality information sources related to a given query topic with hyperlink analysis, has been shown to be useful in Web IR. Based on the analysis of three deficiencies of classical topic distillation algorithm HITS, this paper presents an improved model and algorithm named s-HITSc. Given a query topic, the improved algorithm can model a neighborhood graph at site granularity, compute the relevance weights of the nodes to the topic with content analysis, and apply weighted I/O operations in its iterative hyperlink analysis. Theoretical analysis and experimental results show that s-HITSc can control topic drift and identify more reasonable and meaningful authority and hub sites on a given topic.

基于SVM的图像低层特征与高层语义的关联*

在基于内容的图像检索中,针对图像的低层可视特征与高层语义特征之间的鸿沟,提出了一种基于支持向量机(SVM)的语义关联方法。通过对图像低层特征的分析,提取了颜色和形状特征向量(221维),将它们作为支持向量机的输入向量,对图像类进行学习,建立图像低层特征与高层语义的关联,并应用于鸟类、花卉、海洋以及建筑物等几个典型的语义类别检索。实验结果表明,该方法可适应于不同用户的图像检索,并提高了检索性能。