所见即所得技术的应用

在程序开发过程中利用VC中所见即所得编程技术,通过设置映射模式,统一输入参数单位,调用坐标转换和字体处理函数,将实际的坐标值和字体转换为基于输出设备对象的逻辑坐标值和字体,由程序实现在不同设备上输出一致的显示结果.该方法也可用于文字处理软件,实现文字编辑的所见即所得.     

Block-based motion field segmentation for video coding

In the past few years, motion compensation has been widely used in the coding of image sequences. Most of motion estimation and compensation schemes belong to block-based framework. The framework simplifies the complexity of motion estimation, but gives over constraints to the motion field, which results in worse accuracy on the boundary of moving objects. This paper presents a novel technique for raising motion field accuracy. It uses several pre-defined pattern types to segment the motion fields of the previous frame of a sequence. The segmentation is based on the MAP framework that uses iterative method to obtain the solution. In addition, we develop a predictive scheme to predict the location of motion field discontinuities in the current frame, which further reduces the side information for the representation of segmentation.     

一种基于移动Agent的分布式通信算法

本文提出了一种基于移动Agent链接寻址分布式通信算法,通过分析通信位移延迟问题,对消息传递的寻址、消息排队的过程设置,实现了移动Agent的高速通信.     

细长导体目标的雷达图像特征

本文讨论如高速公路护拦、铁路轨道等细长导体目标的雷达图像特征。从电磁波与地物目标相互作用的角度,说明了它们在雷达图像上显示为强信号或弱信号的原因。     

Energy-efficient Hardware Accelerators for the SA-DCT and Its Inverse

The explosive growth of the mobile multimedia industry has accentuated the need for efficient VLSI implementations of the associated computationally demanding signal processing algorithms. In particular, the short battery life caused by excessive power consumption of mobile devices has become the biggest obstacle facing truly mobile multimedia. We propose novel hardware accelerator architectures for two of the most computationally demanding algorithms of the MPEG-4 video compression standard––the forward and inverse shape adaptive discrete cosine transforms (SA-DCT/IDCT). These accelerators have been designed using general low-energy design philosophies at the algorithmic/architectural abstraction levels. The themes of these philosophies are avoiding waste and trading area/performance for power and energy gains. Each core has been synthesised targeting TSMC 0.09 μm TCBN90LP technology, and the experimental results presented in this paper show that the proposed cores improve upon the prior art.

基于Mean Shift算法的嵌入式实时彩色目标跟踪

为满足Mean Shift算法的实时运行要求,提出了核函数量化以及相关计算权值整数化的方法,将复杂的浮点运算转化为整数运算,减小算法的运算量.设计了以高性能DSP芯片TMS320C6418结合大规模门阵列的嵌入式目标跟踪平台,并与一个具有两自由度伺服系统构成闭环跟踪网络.目标的脱靶量(目标偏离视场中心的距离)作为反馈信号控制伺服系统带动摄像机运动,使目标处于视场的中心附近.实验结果表明系统具有良好的稳定性.     

MEPG-4中的二进制格式场景描述

描述了MPEG－4中二进制格式场景描述的特征，并对其流化多媒体、实现高压缩性、实现用户交互性等一组功能进行了介绍。     

Network‐layer security for the Internet of Things using TinyOS and BLIP

The design of standard communications and security mechanisms for resource‐constrained sensing applications and devices may provide an important contribution for its integration with the Internet and consequently towards the realization of what we nowadays identify as the Internet of Things. This vision will only be realizable if appropriate security mechanisms are available, and in this context we target the design and experimental evaluation of security mechanisms for communications at the network‐layer with sensing devices (smart objects) using the standard IPv6 protocol. Our work proposes and evaluates the usage of new compressed security headers for the network layer with smart objects. We implement and evaluate what is, as far as we know, the first proposal of security at the network layer experimentally evaluated using the TinyOS operating system and its networking stack. As we verify in the course of our evaluation study, various scenarios employing network‐layer secure communications involving smart objects are feasible, particularly when security mechanisms are designed to benefit from cross‐layer interactions that allow the optimization of expensive cryptographic operations. Copyright © 2012 John Wiley & Sons, Ltd.     

基于背景差分的一种运动目标检测方法

针对运动目标检测中,传统背景差分法在运动目标和背景颜色相近时不易检测的缺点,提出了一种检测完整运动目标的方法。该方法对YUV彩色空间下的3个通道分别选取独立的阈值进行初次检测,最大化地利用了视频中图像的色彩信息。在包含初次检测所获运动目标的最小矩形区域内进行二次检测,有效地提高了检测精度。实验证明,相比于常规方法,该方法的检测结果更加清晰完整。     

Feature Selection with Data Field

A new feature selection method is proposed for high-dimensional data clustering on the basis of data field. With the potential entropy to evaluate the importance of feature subsets, features are filtered by removing unimportant features or noises from the original datasets. Experiments show that the proposed method can sharply reduce the number of dimensions and effectively improve the clustering performance on WDBC dataset.