Flash ActionScript在动态改变影片剪辑颜色中的应用

Flash是一种动画创作与应用程序开发于一身的创作软件。ActionScript的发布后,除了具备强大的动画制作功能外,实现了较完整的面向对象编程模型,具备了开发大型应用程序的能力。本文对ActionScript在动态改变影片剪辑颜色的应用做了论述。     

Flash中按钮和影片剪辑的AS编程规则

在Flash中,AS的编写规则和其他编程软件的语法规则又有所不同,它用到的事件和动作脚本编程有自己的规则和方法,文章通过一些实例的制作介绍Flash的AS编程规则。     

电视节目制作中剪辑风格的建立

随着近年来电视技术的飞速发展,电视节目的制作也已进入了数字时代。剪辑是电视节目的再创作,有效的剪辑能够增强节目的艺术表现力和感染力,更体现了创作者的思维才情和美学修养。本文重点对电视节目剪辑风格的建立进行一些分析。     

电视节目制作中剪辑风格的建立

随着近年来电视技术的飞速发展,电视节目的制作也已进入了数字时代。剪辑是电视节目的再创作,有效的剪辑能够增强节目的艺术表现力和感染力,更体现了创作者的思维才情和美学修养。本文重点对电视节目剪辑风格的建立进行一些分析。     

大数据语境下的影片剪辑艺术探究

大数据语境下的影片剪辑艺术有着区别于以往传统模式的新特征、新要求以及新内涵,其中包括对于新的先进技术的适用与应用,更佳艺术化的影片剪辑的表现形式以及将创新当做成第一要务.接下来本文就根据此,去探究大数据语境下的影片剪辑艺术.     

FLASH中影片剪辑的应用

影片剪辑是Flash动画中的动画,一个影片剪辑就是一个迷你Flash影片.是整个Flash应用程序影片的核心,几乎所有的交互操作都是围绕影片剪辑展开的.要成为一个合格的Flash动画开发设计人员,必须精通影片剪辑.     

电视节目制作中的后期剪辑艺术探析

电视节目的后期制作对节目整体呈现效果有着重大的影响.在后期制作中用剪辑的方式对内容进行重点标记,可以提升电视节目的娱乐性.基于此,分析电视节目制作中的后期剪辑艺术,对剪辑过程中出现的问题进行论述并提供有效的解决方案,为电视节目后期剪辑质量提升提供参考.     

后期剪辑在电视节目制作中的价值与运用

电视节目制作是一个复杂的过程,包括前期创作、中期视觉素材搜集以及后期剪辑三个阶段.其中,后期剪辑是电视节目制作的最后一道流程.后期剪辑对电视节目的进程节奏、节目完整度、整体质量以及美感度产生重大影响,把握好后期剪辑的价值并合理运用后期剪辑艺术是电视节目致胜的法宝.基于此,对电视节目后期剪辑进行概述,并探索后期剪辑在电视...     

带闪存的嵌入式电机控制器ADMCF328

电机控制DSP芯片是以DSP为内核并辅以完备的电机控制外设来实现电机控制的专用DSP器件，它减少了系统中传感顺的数量，并能依据控制来产生PWM信号，因而适应于应用单处理器的多电机控制系统，文中介绍了一种廉价的电机控制专用DSP芯片ADMCF328的特性、基本结构、引脚功能以及具体应用。     

嵌入高速DSP器件TMS320C6201的微光视频数字图像处理系统

介绍了一种嵌入高速DSP（数字信号处理器）器件TMS 320C6201的微光视频数字图像处理系统的应用、主要功能单元、技术特点等,并比较了它与其他种类的图像处理器以及高速DSP板卡的区别.     

基于嵌入式ARM下的视频监控系统的实现

介绍了一种应用于智能家居视频监控系统的实现方案。通过对嵌入式技术的分析和理解,将无线局域网的特点和优势与嵌入式系统相结合,提出并实现了一种无线视频监控的解决方案。该系统以ARMS3C2440为硬件平台,利用Video4Linux2获得USB摄像头采集到的视频图像数据,将其通过UDP协议进行网络传输,最终在PC端的一个基于SDL库设计的程序上进行实时接收并显示。     

嵌入式视频监控终端的设计与实现

设计了一种基于S3C2410硬件平台和嵌入式操作系统的远程视频监控系统终端,介绍了该嵌入式系统的软硬件设计思想和体系架构,对系统视频采集,MPEG4压缩,网络传输进行了详细分析.与传统的视频监控系统比较,该方案具有体积小,成本低,稳定性好等优点.     

基于ARM嵌入式局域网视频监控系统的设计与实现

设计了一种基于S3C2410X的ARM9 linux系统组成的远程嵌入式视频监控系统,该系统通过局域网实现对现场情景的监控,首先介绍了ARM处理器的基本结构、性能等情况;然后重点论述了远程监控系统的信息传输方案,就监控软硬件的开发做了简要描述.结果表明,该系统达到设计要求,为应用ARM技术实现远程监控及视频网络传输提供了解决方案.     

智能摄像系统视频采集模块的嵌入式结构

介绍的是实时视频采集模块的嵌入式结构,来实现智能的实时监控。嵌入式结构用赛灵思ML-507平台来进行开发。平台Virtex -5FXT FPGA设备中的FPGA结构中内嵌PowerPC440处理器,旋转变焦（PTZ）摄像机和VGA监视器与该平台连接。接口使用机载VGA输入视频编解码器和DVI发射器芯片。芯片的控制寄存器配置使用嵌入式PowerPC440处理器。应用软件用C语言编写。完成了视频的采集、传输、分辨率为640*480的显示。连接、处理能力高,FPGA消耗资源占18%,剩下的FPGA资源足够实现视频处理的应用。     

Designing an Embedded Video Processing Camera Using a 16-bit Microprocessor for a Surveillance System

This paper describes the design and implementation of a hybrid intelligent surveillance system that consists of an embedded system and a personal computer (PC)-based system. The embedded system performs some of the image processing tasks and sends the processed data to the PC. The PC tracks persons and recognizes two-person interactions by using a grayscale side view image sequence captured by a stationary camera. Based on our previous research, we explored the optimum division of tasks between the embedded system and the PC, simulated the embedded system using dataflow models in Ptolemy, and prototyped the embedded system in real-time hardware and software using a 16-bit CISC microprocessor. This embedded system processes one 320 × 240 frame in 89 ms, which yields one-third of the rate of 30 Hz video system. In addition, the real-time embedded system prototype uses 5.7 K bytes of program memory, 854 K bytes of internal data memory and 2 M bytes external DRAM. Koichi Sato is a Ph.D. student in the Department of Electrical and Computer Engineering at The University of Texas at Austin. He earned his B.S. in University of Tokyo, Japan in 1993. He worked for Automotive Development Center in Mitsubishi Electric Corporation where he was involved in lane and automobile recognition in vehicle video processing products such as automatic cruise control and drowsiness detection systems. He enrolled in the current University at 1998 and received an M.S in 2000. In his Master's thesis he worked on human tracking and human interaction recognition. His current work includes velocity extraction using the TSV transform, object tracking, and 3D object reconstruction. Brian L. Evans is a tenured Associate Professor in the Department of Electrical and Computer Engineering at The University of Texas at Austin. His research and teaching efforts are in embedded real-time signal and image processing systems. In signal processing, his research group is focused on the design and real-time software implementation of ADSL and VDSL transceivers, for high-speed Internet access. In image processing, his group is focused on the design and real-time software implementation of high-quality halftoning for desktop printers, smart image acquisition for digital still cameras, and 3-D sonar imaging systems. In signal and image processing, Dr. Evans has published over 100 refereed conference and journal papers. Dr. Evans is the primary architect of the Signals and Systems Pack for Mathematica, which has been on the market since October 1995. He was a key contributor to UC Berkeley's Ptolemy Classic electronic design automation environment for embedded systems, which has been successfully commercialized by Agilent and Cadence. His BSEECS (1987) degree is from the Rose-Hulman Institute of Technology, and his MSEE (1988) and PhDEE (1993) degrees are from the Georgia Institute of Technology. From 1993 to 1996, he was a post-doctoral researcher in the Ptolemy project at UC Berkeley. He is a member of the Design and Implementation of Signal Processing Systems Technical Committee of the IEEE Signal Processing Society, and a Senior Member of the IEEE. He is the recipient of a 1997 National Science Foundation CAREER Award. J.K. Aggarwal has served on the faculty of The University of Texas at Austin College of Engineering since 1964 and is currently Cullen Professor of Electrical and Computer Engineering and Director of the Computer and Vision Research Center. His research interests include computer vision and pattern recognition focusing on human motion. A Fellow of IEEE since 1976 and IAPR since 1998, he received the Senior Research Award of the American Society of Engineering Education in 1992, the 1996 Technical Achievement Award of the IEEE Computer Society and the graduate teaching award at The University of Texas at Austin in 1992. He has served as Chairman of the IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence (1987--1989); Director of the NATO Advanced Research Workshop on Multisensor Fusion for Computer Vision, Grenoble, France (1989); Chairman of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1993), and President of the International Association for Pattern Recognition (1992--1994). He is a Life Fellow of IEEE and Golden Core member of IEEE Computer Society. He has authored and edited a number of books, chapters, proceedings of conferences, and papers.     

内嵌闪存MCU的高性能多通道24位采集系统ADuC845

ADuC845是ADI公司新推出的嵌有单指令周期8052闪存MCU、带两路24位∑ -△A/D、双12位D/A以及两个灵活脉宽调制输出的高性能24位数据采集与处理系统芯片。该芯片的数据处理速度达12MIPS,且设计简单 ,噪声低 ,非常适用于精密仪器仪表。文中详细介绍了该芯片的功能特点和工作原理 ,给出了该芯片的应用方法。     

带嵌入式MCU的8通道12位A/D转换器ADuC812及其应用

介绍了带嵌入式MCU的8通道12位A／D转换器ADuC812的结构和使用方法，及其在动平衡机测量系统中的应用。     

Real-Time Software Video Codec with a Fast Adaptive Motion Vector Search

A PC-based real-time software MPEG-4 video codec with a fast adaptive motion vector search is presented. In a fast adaptive motion estimation (ME) technique, the search order is dynamically changed in according with the motion of objects. This technique suppresses load fluctuation in the ME and contributes to the stable real-time work of the software codec. MMX instructions are used to increase the codec speed. On a portable PC, the software video codec supports satisfactory mobile visual communication at 64 kbps and 128 kbps, for example, at QCIF 15 fps. The codec on a 450 MHz PentiumII processor can encode and decode 30 CIF frames in real-time.