VBR MPEG视频传输模型

文章主要论述了开发VBR MPEG视频传输模型的原因，VBR MPEG流编码原则，常见模型的分类，并详细介绍了各模型的特点以及轨迹图，最后用实验数据对各模型的特性进行了比较。     

基于帧拆分的MPEG视频的可靠传输

1.前言近年来在Internet上传送MPEG视频的需求和应用越来越多。多媒体交互式应用要求短时延,一般采用UDP协议进行传送,但UDP是不可靠传输协议,传送过程中的包丢失将导致视频质量下降。MPEG使用的帧间预测技术使得一旦I-帧或P-帧在传送中丢失,依赖它们的许多帧将受影响,即使很小的包丢失率也会严重影响接受到的MPEG视频的质量。     

一种新的基于运动矢量的MPEG VIDEO码流cut检出算法

介绍了一种对ＭＰＥＧ ＶＩＤＥＯ码流中场景切换点进行高速检出的新方法,在计算各帧相对于预测帧的类似度之后进行了类似度的归一化,降低了ｃｕｔ检出算法的复杂度,提高了检出的速度。     

网络视频流传输的自适应调节策略的研究与实现

介绍了一种基于网络多媒体数据传输自适应码率传输控制的策略.在传统自适应算法的基础上,提出了一种改进的网络自适应算法,并将此算法应用在视频流传输系统中.对此改进算法完成了实验数据的仿真和端对端的视频数据传输效果的主观观察;试验结果表明此改进算法能达到公网或者移动网络中视频传输的实时性、可靠性和稳定性等要求.     

基于3G无线网络实时传输MPEG4流媒体的设计与实现

首先介绍了视频监控系统所涉及的一些基础理论（MPEG-4;RTP/RTCP）,简述了嵌入式移动视频监控系统的实现方案;然后给出了系统的总体设计框架,着重对基于无线传输的嵌入式移动视频监控系统的传输部分设计进行了详细描述。     

MPEG—2可分级图像编码的实时传输的实现

本文介绍了基于MPEG－2国际标准的可分级编码方法,并以数据分割可分级方法对一个视频源产生的具有不同视频质量的视频层,用基本层编码提供基本视频质量,增强层则被编码来增强基本层。实验结果证明,增强层对基层的图像质量确实有相当的增强作用,并能自动适应网络信道的状况满足实时视频传输的要求。     

面向TCP友好的音视频自适应实时传输

该文在RTP协议之上提出了一种多媒体自适应实时传输的方案—TCP友好的自适应实时传输。它具有带宽——动态自适应和TCP友好的特点,它不仅能根据网络实际情况,快速、平滑地调整音视频的传输速率,而且能够使基于UDP传输的音视频不至于过度抢占基于TCP的数据流带宽。为了实现该方案,该文在对RTP中的AIMD算法进行深入分析的基础上,对其中的递增步长和乘性因子两个参数进行了修改,不仅使这两个参数是可变的,而且根据TCP分析模型将两个参数设置为TCP某个指标来达到TCP友好。     

基于内容丢帧的视频自适应传输优化策略

根据用户对视频内容的个性化偏好,提出结合语义事件与精彩度的视频内容分级方法,构建时域内基于多粒度语义内容的统一丢帧模型,在 RTP/RTSP 流媒体服务器中基于语义丢帧算法设计了视频自适应传输优化策略。实验结果表明,本文提出的基于内容的丢帧策略在网络性能、语义质量等方面优于传统基于帧类型的丢帧策略。     

一种基于RTP的MPEG-2实时传输系统

在简述RTP协议原理的基础上阐明了用于MPEG－2视频传输的RTP载荷格式，并提出了一种基于RTP的MPEG－2实时传输系统，给出了其系统结构，同时，文章民对该系统实现时可能遇到的问题给出了相应解决措施。     

MPEG在视频中的应用研究

随着网络的应用,视频的在线传输和播放也应用越来越广。在网络带宽不足的情况下,视频文件尽量小是我们追求的目标。本文介绍了MPEG压缩算法如何实现对视频的压缩,并介绍MPEG视频压缩中具体压缩算法的应用。并对MPEG的几种标准进行比较和介绍。     

MPEG流封装成RTP协议包的具体实现

MPEG流是由多个层次构成手复杂的媒体流，实时传输协议（RTP）是针对多媒体数据进行实时传输的协议。MPEG流依据RTP以流媒体的形式进行实时传输是目前MPEG视音频传输的一个有效的方法。本文给出了将MPEG流封装成RTP协议包的具体实现。     

A QoS-Enabled Transmission Scheme for MPEG Video Streaming

While MPEG is the de facto encoding standard for video services, online video streaming service is becoming popular over the open network such as the Internet. As the performance of open network is non-predictable and uncontrollable, the tuning of the quality of service (QoS) for on-line video streaming services is difficult. In order to provide better QoS for the delivery of videos, there are proposals of new encoding formats or new transmission protocols for on-line video streaming. However, these results are not compatible with popular video players or network protocols and hence these approaches are so far not very successful. We use another approach which tries to by-pass these problems. We designed a QoS Tuning Scheme and a QoS-Enabled Transmission Scheme for transmitting MPEG videos from video servers to clients. According to the traffic characteristics between the video server and each individual client, the QoS Tuning Scheme tunes the QoS to be delivered to each individual client on the fly. Furthermore, our QoS-Enabled Transmission Scheme can be applied over any protocol, such as HTTP which is the most popular protocol over the open network. With our transmission scheme, bandwidth can be better utilized by reducing transmitted frames which would have missed their deadlines and would eventually be discarded by the clients. This is achieved by sending frames according to their impact on the QoS in the playback under the allowed throughput. With these schemes, users can enjoy video streaming through their favorite video players and with the best possible QoS. In order to facilitate the real time QoS tuning, a metric, QoS-GFS, is developed. This QoS-GFS is extended from the QoS-Index, another metric which has taken human perspective in the measurement of video quality. Hence QoS-GFS is better than the common metrics which measures QoS by means of rate of transmission of bytes or MPEG frames. We designed and implemented a middleware to perform empirical tests of the proposed transmission scheme and QoS tuning scheme. Experiment results show that our schemes can effectively enhance the QoS for online MPEG video streaming services. The work reported in this paper was supported in part by the RGC Earmarked Research Grant under RGC HKBU 2074/01E, and by the FRG under FRG 00-01/I. Joseph Kee-Yin Ng received a B.Sc. in Mathematics and Computer Science, a M.Sc. in Computer Science, and a Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign in the years 1986, 1988, and 1993, respectively. Dr. Ng is currently an associate professor in the Department of Computer Science at Hong Kong Baptist University. His current research interests includes Real-Time Networks, Multimedia Communications, Ubiquitous/Pervasive Computing, Mobile and Location-aware Computing, Performance Evaluation, Parallel and Distributed Computing. Dr. Ng is the Technical Program Chair for TENCON 2006, General Chair for The 11th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2005), Program Vice Chair for The 11th International Conference on Parallel and Distributed Systems (ICPADS 2005), Program Area-Chair for The 18th & 19th International Conference on Advanced Information Networking and Applications (AINA 2004 & AINA 2005) and he had served as the General Co-Chair for The International Computer Congress 1999 & 2001 (ICC'99 & ICC'01), the Program Co-Chair for The Sixth International Conference on Real-Time Computing Systems and Applications (RTCSA'99) and the General Co-Chair for The 1999 and 2001 International Computer Science Conference (ICSC'99 & ICSC'01). Dr. Ng is a member of the Editorial Board of Journal of Pervasive Computing and Communications, Associate Editor of Real-Time Systems Journal and Journal of Mobile Multimedia. He is a guest editor of International Journal of Wireless and Mobile Computing for a special issue on Applications, Services, and Infrastructures for Wireless and Mobile Computing. Dr. Ng is currently the Region 10 Coordinator for the Chapter Activities Board of the IEEE Computer Society, and is the Coordinator of the IEEE Computer Society Distinguished Visitors Program (Asia/Pacific). He is a senior member of the IEEE and has been a member of the IEEE Computer Society since 1991. Dr. Ng has been an exco-member (1993–95), General Secretary (1995–1997), Vice-Chair (1997–1999), Chair (1999–2001) and is the immediate past Chairman of the IEEE, Hong Kong Section, Computer Chapter. Dr. Ng received the Certificate of Appreciation for Leadership and Service (2000–2001) from IEEE Region 10 and the IEEE Meritorious Service Award from IEEE Computer Society at 2004. He is also a member of the IEEE Communication Society, and ACM. Karl R.P.H. Leung received his Ph.D. from The University of Hong Kong. He is currently a Principal Lecturer in the Department of Information and Communications Technology at the Hong Kong Institute of Vocational Education (IVE). He is the founder of the Compuware Software Testing Laboratory in the IVE with a donation from the Compuware Asia Pacific Co. Ltd. His research areas include: domain modeling, mission critical software engineering methodology, secure workflow systems, GSM-based location estimation, and QoS of MPEG streaming. He is a Senior Member of the IEEE and IEEE Computer Society, and has held major office of the IEEE Hong Kong Section Computer Chapter. While he was the chairman in 1998, the Chapter won the IEEE Most Outstanding Computer Society Chapter Award. He is also a Chartered Engineer of Engineering Council (UK), a Chartered Information Systems Engineer of British Computer Society (UK), an Engineer of Hong Kong Institution of Engineers, Registered Professional Engineer (Information) of Hong Kong Engineers Registration Board, and a member of ACM, BCS, ACS, HKIE and HKCS. Calvin Kin Cheung Hui received a B.Sc. (First Class Honours) in Computer Science, and a M.Phil. degree in Computer Science from Hong Kong Baptist University in the years 1999, and 2002, respectively. Mr. Hui's research interests includes Real-Time Networks, VoD Systems, Video Streaming, Multimedia Communication, and Distributed Systems Performance Evaluation.     

一种MPEG1/MPEG2视频流的自适应播放算法

提出了一种MPEG1/MPEG2视频流的自适应播放算法。算法根据播放缓冲区的占用情况来调整视频帧的播放持续时间，并在播放缓冲区上溢时判断到达视频帧的类型，以决定是暂时存储还是丢弃，使得不会造成帧内编码帧和前向预测编码帧的丢失，从而保证视频流平滑地播放。实验结果表明，在播放不连续性和播放失真上新算法都优于Yuang算法，并实现了视频流的平滑播放。     

一种从MPEG视频流中快速分割镜头的算法

镜头分割算法是实现视频检索的关键,本文提出一种针对MPEG视频流的快速分割镜头的算法,介绍了该算法的基本原理与实现过程。该算法利用压缩视频中的可用信息,通过计算帧的内编码宏块数量的比例作为是否需要进行镜头分割判别的标识,进而计算MPEG视频流B帧各宏块编码类型来检测发生镜头分割的帧住置,并进行了相关的实验。实验
结果表明,该算法能快速有效地检测镜头分割,且计算量较小。     

面向RCBR网络的变比特率MPEG视频流的自适应预测

变比特率视频业务是将来多媒体业务的主要组成部分，为保证高质量，实时传输的需要，准确把握视频特征，结合网络传输机制为多媒体通信提供更好的服务质量（QoS)是目前亟待解决的问题之一，该文针对面向RCBR（Renegotiated Constant Bit Rate)网络的变比特率MPEG视频提出了基于编码结构的自适应预测算法，它充分利用了视频流的周期相关性，能准确快速，无延迟地对视频帧的码率进行预测，通过网络动态地为视频分配合适的带宽，不仅能达到高质量，低延迟抖动的视频服务，并且提高了网络的利用率，与分配固定带宽的网络相比，其网络缓冲的排除性能和网络的利用率有明显提高。     

视频的网络数字化传输

数字时代的今天，只有动态的数据才能真实地反映实际的变化。本文以视频的网络数字化传输为前提，对网络的传输技术、IP协议及视频的压缩和数字化进行了研究，并提出了对视频网络数字化传输的解决方案。     

网络自适应传输控制策略研究

针对流媒体传输中的拥塞问题，对网络自适应传输控制进行了研究，结合RTP协议的传输特性，提出了一种基于带宽的网络自适应传输策略并阐述了这种策略的控制机理。该策略能够根据网络资源状况动态调节传输速率、匹配网络带宽，实现了网络自适应传输。     

基于RTP协议的MPEG流的传输

流媒体实时传输技术是当前通信领域研究的热点之一，流媒体的最大特点是它的实时性，即一边传输一边播放。MPEG是Motion Picture Experts Group的缩写，它是国际通用的多媒体压缩编码标准。RTP协议是IETF提出的适合实时数据传输的协议，它有效的弥补了现有的传输协议对实时性应用支持的不足，讨论如何使用RTP协议对MPEG流打包封装，并在接收端对丢包进行错误恢复和再同步。