一种新的基于率失真优化的感兴趣区域编码

根据EBCOT编码中率失真优化截取算法的特点,,结合最大位移法提出了以提升率失真斜率来实现任意形状ROI优先编码的方法(DRshift法)。该方法提升的对象是ROI的失真斜率,而非ROI系数,从而避免了最大位移法(Maxshift)中引入过多的位平面导致的编码效率降低的问题。实验结果表明,该算法可在接收到图像的全部编码数据之前,优先实现任意形状的感兴趣区域的高品质重建,提高了编码效率,并且,通过改变提升因子的大小可实现感兴趣区域与背景区域重建图像质量的灵活可调。     

JPEG2000感兴趣区域编码技术浅析

该文介绍了一种感兴趣区域(ROI)编码技术-最大位移法(Maxshiftmethod),它已经被JPEG2000第一部分所采纳。与一般位移法(Generalscalingbasedmethod)相比,最大位移法无需在码流中传递ROI形状的信息,也不必在解码端计算感兴趣区域模板(ROImask)。随后,该文由浅入深地阐述了任意形状ROI模板的计算方法,并且推导出了当ROI为矩形时计算其模板的快速算法。     

基于JPEG2000的任意形状ROI编码方法研究

介绍JPEG2000感兴趣区域编码技术的基本原理和编码方法,比较一般移位法和最大移位法,提出一种新的基于JPEG2000的任意形状感兴趣区域(ROI)编码方法GPBShift,它结合了两种标准ROI编码算法的优点.     

基于SPIHT算法的ROI编码研究

感兴趣区域(ROI)编码与图像压缩算法的相结合,可使ROI获得高质量。本文通过在多级树集合分裂(SPIHT)算法中嵌入ROI,形成基于SPIHT算法的ROI图像编码方法。该方法通过下移背景(BG)位平面使ROI位平面置于BG位平面之前,解码时优先传输ROI系数。实验选取一般位移法,将此算法与传统的SPIHT算法作比较,并研究了不同条件下各区域的质量。实验证明,本文算法明显优于传统的SPIHT算法,选择合理的参数能得到好的视觉效果。     

基于PBBShift的ROI编码方法

为使观察者提早了解图像的大致情况,提出了基于部分背景位平面位移(PBBShift)的感兴趣区域(ROI)编码方法.该方法将背景(BG)位平面分为两部分,编码时下移剩余的BG位平面,解码时可优先传输ROI系数和重要的BG系数,然后传输剩余的BG系数.实验证明,该方法在低码率下,ROI和BG质量相差无几;在高码率下,ROI获得比BG更好的质量.改进的方法在带宽受限的网络中有很大的实用价值.     

基于JPEG2000的ROI编码算法的研究

介绍JPEG2000标准中定义的ROI算法:一般位移法和最大位移法,但这两种方法都有缺点.因此随后又详细论述其改进算法--部分背景系数平面位移法和部分重要位平面位移法,给出算法验证和比较结果.     

基于SPIHT算法的改进ROI图像编码

将分层树集合划分算法(Set Partitioning in Hierarchcal Trees, SPIHT)引入到感兴趣区域(Region of Interest, ROI)编码中。对前n个高比特平面进行编码时,将ROI区域与背景无区分进行编码。对n个高比特平面之后的平面进行编码时,将背景区域进行清零操作,ROI区域继续用SPIHT算法进行编码。此算法的优点：位平面数减少;整个图像的基本信息能够优先被恢复出来。在解码端,依靠原有的SPIHT解码程序就可以将其解码出来。可用于现有的SPIHT算法应用中,并且能够很好地恢复感兴趣的图像。     

JPEG2000感兴趣区域编码的新方法

对于感兴趣区域编码一直是图像压缩的热点之一。结合新一代静止图像压缩标准JPEG2000,介绍了JPEG2000中两种经典的ROI压缩算法：最大化位移法和一般位移法,分析了这两种方法的实现原理和优缺点,提出了一种新的JPEG2000感兴趣区域编码方法。该方法利用JPEG2000中“失真可伸缩性”的特点,对于感兴趣区域和背景区域给定的目标质量,在质量层上根据给定的目标质量对包进行丢弃处理以达到压缩的目的,没有经典ROI（Region Of Interest）压缩方法的移位处理,所以压缩效率略好于经典压缩方法,压缩时间小于经典ROI方法所需的时间。实验结果表明,在相同的压缩比特率下,压缩效果和压缩时间优于JPEG2000中经典的压缩方法     

基于率失真优化的ROI编码算法

提出一种通过提升率失真斜率来实现任意形状的感兴趣区域（ROI）编码的方法,从而避免了因提升系数引入过多的位平面导致编码效率降低的问题。实验结果表明该算法通过调节提升因子可实现ROI与背景区域重现图像对比度的任意可调,并且无需发送ROI区域的形状信息,同时降低了部分ROI编码块中背景系数的优先级,可以使感兴趣区域得到更快的恢复重现。     

基于多级位平面交错的ROI图像编码

在许多的图像应用中，基于感兴趣区域(ROI)图像编码技术占有重要地位。在ROI图像编码中，感兴趣区域采用低压缩比以得到较高的图像质量，而背景区域(ROB)则采用高压缩比以达到相对低一点的图像质量。因此，这种技术能很好地解决图像质量和压缩比之间的矛盾。在JPEG2000中已采用了General Scaling Based Method和Maxshift Method的ROI编码技术，但在一些应用中它们仍不能满足要求。为此提出了一种基于多级位平面交错(MBI)的编码算法。该算法具有多ROI编码、ROI-ROB重要性编码等特点，能够满足不同应用场合下的编码要求。     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

基于QTE的蒙古文显示机制研究与实现

蒙古语言是中国蒙古族使用的通用语言,由于蒙古文区别于其他文字的书写方式和其自身变形机制等特点,在很多通用的文字处理引擎中都不被支持。在嵌入式产品开发与应用领域中Linux加QTE已经成为流行方式。该文给出了一种在QTE环境上实现基于标准Unicode的蒙古文点阵显示和变形算法, 并自定义了支持蒙古文的QTE组件,扩展了QTE功能,为在Linux加QTE方式的嵌入式体系结构中处理蒙古文提供了一种解决方法。