运用定点DSP实现MPEG-4标准中DCT系数快速量化的方法

以运用TMS320C6200定点DSP芯片完成MPEG-4标准中DCT系数量化为例,简要介绍MPEG-4标准的量化方法,提出一种用定点乘法和移位运算代替量化过程中的除法和饱和运算的方法,并实现了快速运算。     

MPEG-4视频DCT量化模块的改进方法

在对MPEG-4视频编码DCT量化模块的分析和研究的基础上,对MPEG-4编码器提出了一种基于DCT域运动估计的改进方法。这种编码结构直接在DCT变换域中进行运动估计,不需要将DCT系数变换回空间域,因此它能有效地减少编码的运算次数和编码结构的复杂度,满足实时编码的要求。     

MPEG-4视频压缩编码的算法优化

结合移动通信的实际应用背景,在全面了解MPEG-4标准的基础上,对MPEG-4标准的核心部分——视频压缩编码器中最耗时的DCT模块和运动估计模块,进行了优化:对于DCT模块,采用了binDCT算法和部分DCT系数算法来优化;运动估计模块采用了NPDS算法来优化。通过理论分析和仿真可以看出,采用这三种算法,既保证了图像质量,又在很大程度上提高了编码速度。     

基于ARM的MPEG-4视频编码器

分析了ARM7TDMI的结构特点,根据处理器结构对MPEG-4编码算法进行了优化。通过采用双BlockDCT、优化的VLC编码及NGDS运动估计算法等方法,大幅度提高了编码器的速度,达到实时编码的要求。     

基于DCT域的MPEG-4编码器改进方法研究

在对MPEG-4标准的分析和研究的基础上,对MPEG-4编码器提出了一种基于离散余弦变换(DCT)域运动估计的改进方案。这种编码结构直接在DCT变换域中进行运动估计,不需要将DCT系数变换回空间域。因此它能有效地减少编码的运算次数和编码结构的复杂度,满足实时编码的要求。     

MPEG-4在无线视频通信中的应用研究

通过对无线视频通信和MPEG-4的特点分析,提出适合无线视频通信的MPEG-4SP级编解码框架,对影响MPEG-4编码速度的两项关键技术：运动估计和DCT变换进行编码优化,以提高编码速度,对优化结果进行了验证,为MPEG-4编码器在移动通信设备上的实现建立一个研究的基础平台。     

MPEG-4编码技术应用及FPGA实现

为满足视频通信、智能化监控等的需求,研究了MPEG-4编码技术的应用特点,设计了基于FPGA的MPEG-4编码器IP。通过分类比较的方法,研究分析了MPEG-4编码技术在不同类型中的应用方案,总结归纳了各类应用的特点,为进一步提高编码器的效率、满足低功耗的要求,在FPGA上设计并实现了MPEG-4编码器。经测试表明:该设计方案编码高效,符合实时视频通信的需求,可广泛应用在移动视频通信、远程无线监控等领域。     

一种基于Linux的MPEG-4算法实现

MPEG-4是基于对象的多媒体数据压缩标准,广泛应用于远程监控等多媒体领域。本文介绍了MPEG-4编码标准,分析了MPEG-4算法的结构、流程,给出了一种基于Linux的MPEG-4算法的实现。     

基于MPEG-4的媒体播放器的本地化实现方法

MPEG-4不仅仅是一个开放的标准,它还是一次新的媒体革命。符合该标准的软件产品有很多,包括服务器和客户端的;为了使软件产品具有全球可用性,要求它有很好的本地化能力,既设计软件代码库和资源,从而不用修改源代码就可以把程序本地化为不同的语言版本。文章从了解MPEG-4的结构出发,以提高其本地化能力为目的,通过阐明客户端软件的结构,找到本地化其客户端软件的具体实现方法。     

MPEG-4变长解码器设计及VLSI实现

变长编码（Variable Length Codes，简称VLCs）由于其较强的数据压缩能力而被广泛应用在多媒体数据压缩领域，变长编码又分为传统的前缀码和具有错误恢复能力的可逆变长编码（Reversible Variable Length Codes，简称RVLCs）．传统VLCs的自身性质使它对信道错误的恢复能力很弱，RVLCs解码遇到传输错误时，充分利用了可用的数据．错误恢复能力强于VLCs．本文详细描述了传统VLCs和RVLCs解码器的解码算法和解码器的体系结构设计，最后，给出了一个基于MPEG-4 ASP@L5的变长解码嚣VLSI实现，结果表明，该实现完全适用于MPEG-4实时编解码系统．     

MPEG-4视频编码技术的研究及实现

通过对MPEG-4的特点和VOP编码原理及其关键算法的研究,提出了实现形状信息编码、运动信息编码、纹理信息编码的方法,针对运动信息编码、纹理信息编码这两种编码方式给出了流程图并进行详细说明,提出了MPEG-4编码技术中两种新的编码——可伸缩编码和Sprite对象编码。     

基于ARM7的MPEG-4视频解码器的优化

分析了ARM7处理器的结构特点,针对解码器的优化特点和芯片的硬件结构,采用了算法级、语言级、ARM级联合优化的方法,对标准MPEG-4解码过程进行了优化。通过本文所总结的ARM7TDMI上视频解码的优化方法,可以使MPEG4视频解码节约大量的数据处理时间,能较好地满足低分辨率、低帧率场合实时解码的要求。     

基于SIGMA8511的MPEG-4视频解码器的配置和开机优化

MPEG-4是当今最重要、最有影响的多媒体数据编码国际标准之一。基于视频解码具有高解码率和可拓展性,本文主要探讨基于SIGMA EM8511的MPEG-4视频编解码器的寄存器的配置。     

基于非均匀离散余弦变换的MPEG-4视频内容保护

由于视频数据量大、处理上实时性要求高,加密方法的效率通常是视频内容安全的关键。在MPEG-4框架下,提出了一种新的视频保护方法。该方法利用非均匀离散余弦变换(NDCT)取代视频编解码中的常规离散余弦变换(DCT),对MPEG-4视频数据在频域上进行加扰保护和解扰,并将控制离散余弦变换非均匀性的参数作为密钥使用。由于不存在专门的密码操作模块,整个方法的时间和空间开销与正常的编解码相当,且从保护效果和安全性方面满足了大量应用的要求。     

Cache modeling and optimization for portable devices running MPEG-4 video decoder

There are increasing demands on portable communication devices to run multimedia applications. ISO (an International Organization for Standardization) standard MPEG-4 is an important and demanding multimedia application. To satisfy the growing consumer demands, more functions are added to support MPEG-4 video applications. With improved CPU speed, memory sub-system deficiency is the major barrier to improving the system performance. Studies show that there is sufficient reuse of values for caching that significantly reduce the memory bandwidth requirement for video data. Software decoding of MPEG-4 video data generates much more cache-memory traffic than required. Proper understanding of the decoding algorithm and the composition of its data set is obvious to improve the performance of such a system. The focus of this paper is cache modeling and optimization for portable communication devices running MPEG-4 video decoding algorithm. The architecture we simulate includes a digital signal processor (DSP) for running the MPEG-4 decoding algorithm and a memory system with two levels of caches. We use VisualSim and Cachegrind simulation tools to optimize cache sizes, levels of associativity, and cache levels for a portable device decoding MPEG-4 video. Abu Asaduzzaman is, currently, a PhD candidate in the department of Computer Science and Engineering (CSE), Florida Atlantic University (FAU), Boca Raton, Florida. He received his MS degree in computer engineering from FAU in 1997. Mr. Asaduzzaman worked for ECI Telecom as a software engineer from 1998 to 2001. From 2001 to 2003, he worked for BlueCross and BlueShield of Florida and SunPass (FDoT) as an IT Consultant. Currently, he is working as a research assistant at CSE Dept, FAU. His research interests include cache optimization, architecture exploration, embedded system evaluation, and networks-on-a-chip (NoC). He has published several research papers in these areas. Abu is a member of the honor society of Phi Kappa Phi, Tau Beta Pi, Upsilon Phi Epsilon, and the Association for Computing Machinery (ACM) FAU Chapter. Imad Mahgoub received the MS degree in applied mathematics and MS degree in electrical and computer engineering, both from North Carolina State University, Raleigh in 1983 and 1986 respectively and the PhD degree in computer engineering from the Pennsylvania State University, University Park, PA in 1989. Dr. Mahgoub joined Florida Atlantic University (FAU), Boca Raton, Florida in 1989. Currently he is a full professor of Computer Science and Engineering department and the director of the Mobile Computing Laboratory. His research interests include performance evaluation, mobile computing, sensor networks, and parallel and distributed processing. He has published over 80 research papers in these areas. He is the co-editor of the Mobile Computing Handbook and the Handbook of Sensor Networks. Dr. Mahgoub has served on the program committees of numerous conferences. He has been the vice-chair for the Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS) since 2003. He is a senior member of the IEEE. He is also a member of Tau Beta Pi, Upsilon Pi Epsilon, the IEEE Computer Society, and the ACM.     

Cache modeling and optimization for portable devices running MPEG-4 video decoder

There are increasing demands on portable communication devices to run multimedia applications. ISO (an International Organization for Standardization) standard MPEG-4 is an important and demanding multimedia application. To satisfy the growing consumer demands, more functions are added to support MPEG-4 video applications. With improved CPU speed, memory sub-system deficiency is the major barrier to improving the system performance. Studies show that there is sufficient reuse of values for caching that significantly reduce the memory bandwidth requirement for video data. Software decoding of MPEG-4 video data generates much more cache-memory traffic than required. Proper understanding of the decoding algorithm and the composition of its data set is obvious to improve the performance of such a system. The focus of this paper is cache modeling and optimization for portable communication devices running MPEG-4 video decoding algorithm. The architecture we simulate includes a digital signal processor (DSP) for running the MPEG-4 decoding algorithm and a memory system with two levels of caches. We use VisualSim and Cachegrind simulation tools to optimize cache sizes, levels of associativity, and cache levels for a portable device decoding MPEG-4 video. Abu Asaduzzaman is, currently, a PhD candidate in the department of Computer Science and Engineering (CSE), Florida Atlantic University (FAU), Boca Raton, Florida. He received his MS degree in computer engineering from FAU in 1997. Mr. Asaduzzaman worked for ECI Telecom as a software engineer from 1998 to 2001. From 2001 to 2003, he worked for BlueCross and BlueShield of Florida and SunPass (FDoT) as an IT Consultant. Currently, he is working as a research assistant at CSE Dept, FAU. His research interests include cache optimization, architecture exploration, embedded system evaluation, and networks-on-a-chip (NoC). He has published several research papers in these areas. Abu is a member of the honor society of Phi Kappa Phi, Tau Beta Pi, Upsilon Phi Epsilon, and the Association for Computing Machinery (ACM) FAU Chapter. Imad Mahgoub received the MS degree in applied mathematics and MS degree in electrical and computer engineering, both from North Carolina State University, Raleigh in 1983 and 1986 respectively and the PhD degree in computer engineering from the Pennsylvania State University, University Park, PA in 1989. Dr. Mahgoub joined Florida Atlantic University (FAU), Boca Raton, Florida in 1989. Currently he is a full professor of Computer Science and Engineering department and the director of the Mobile Computing Laboratory. His research interests include performance evaluation, mobile computing, sensor networks, and parallel and distributed processing. He has published over 80 research papers in these areas. He is the co-editor of the Mobile Computing Handbook and the Handbook of Sensor Networks. Dr. Mahgoub has served on the program committees of numerous conferences. He has been the vice-chair for the Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS) since 2003. He is a senior member of the IEEE. He is also a member of Tau Beta Pi, Upsilon Pi Epsilon, the IEEE Computer Society, and the ACM.