非扩展性与可扩展性视频编码流式技术

介绍面向存储的非扩展性视频编码和面向传输的可扩展性视频编码及其网络传输技术，以及它们在网络上应用时各自存在的优点和缺点。     

非扩展性与可扩展性视频编码流式技术

介绍面向存储的非扩展性视频编码和面向传输的可扩展性视频编码及其网络传输技术 ,以及它们在网络上应用时各自存在的优点和缺点     

Network Bandwidth Requirements for Scalable On-Demand Streaming

Previously proposed streaming protocols using broadcast or multicast are able to deliver multimedia files on-demand with required server bandwidth that grows much slower than linearly with request rate, or with the inverse of client start-up delay. The same efficiencies can be achieved for network bandwidth if delivery is over a true broadcast channel. This paper considers the required network bandwidth for on-demand streaming over multicast delivery trees. We consider both simple canonical delivery trees, and more complex cases in which delivery trees are constructed using both existing and new algorithms for randomly generated network topologies and client site locations. Results in this paper quantify the potential savings from use of multicast trees that are configured to minimize network bandwidth rather than the latency to the content server. Further, we determine the network bandwidth usage of particular immediate service and periodic broadcast on-demand streaming protocols. The periodic broadcast protocol is able to simultaneously achieve close to the minimum possible network and server bandwidth usage.     

Design of Finite-Length Precoded EWF Codes for Scalable Video Streaming

Wireless Personal Communications - Expanding window fountain (EWF) codes, which can provide unequal erasure protection property, are used as an efficient application-layer forward error correction...     

Video Streaming with Network Coding

Recent years have witnessed an explosive growth in multimedia streaming applications over the Internet. Notably, Content Delivery Networks (CDN) and Peer-to-Peer (P2P) networks have emerged as two effective paradigms for delivering multimedia contents over the Internet. One salient feature shared between these two networks is the inherent support for path diversity streaming where a receiver receives multiple streams simultaneously on different network paths as a result of having multiple senders. In this paper, we propose a network coding framework for efficient video streaming in CDNs and P2P networks in which, multiple servers/peers are employed to simultaneously stream a video to a single receiver. We show that network coding techniques can (a) eliminate the need for tight synchronization between the senders, (b) be integrated easily with TCP, and (c) reduce server’s storage in CDN settings. Importantly, we propose the Hierarchical Network Coding (HNC) technique to be used with scalable video bit stream to combat bandwidth fluctuation on the Internet. Simulations demonstrate that under certain scenarios, our proposed network coding techniques can result in bandwidth saving up to 60% over the traditional schemes.     

Modeling End-to-End Wireless Lossy Channels: A Finite-State Markov Approach

In this paper, we present a model for wireless losses in packet transmission data networks. The model provides information about the wireless channel status that can be used in congestion control schemes. A Finite State Markov Channel (FSMC) approach is implemented to model the wireless slow fading for different modulation schemes. The arrival process statistics of the packet traces determine the channel state transition probabilities, where the statistics of both error-free and erroneous bursts are captured. Later, we establish SNR partitioning scheme that uses the transition probabilities as a basis for the state margins. The crossover probability associated with each state is calculated accordingly. We also propose an end-to-end approach to loss discrimination based on the channel state estimation at the receiver. Finally, we present a scheme for finding the channel optimal number of states as a function of the SNR. The presented FSMC approach does not restrict the state transitions to the adjacent states, nor does impose constant state duration as compared to some literature studies. We validate our model by experimental packet traces. Our simulation results show the feasibility of building a fading channel model for better wireless-loss awareness.     

流媒体视频系统在宽带网中的应用

随着国内宽带建设的加速发展,以流媒体(StreamingMedia)为核心架构的宽带网络多媒体应用系统正迅速崛起,并成为整个业界关注的焦点。流式技术以其边下载边播放的特性深受教育、娱乐等行业的喜爱,并给宽带运营商带来了可观的收益回报。本文结合流媒体技术在绍兴广电宽带城域网中应用做一些介绍。     

Hierarchical Optimization of Cascading Error Protection Scheme for H.264 Scalable Video Streaming

Forward error correction (FEC) coding has been shown to offer a feasible solution to fulfill the need for Quality of Service for multimedia streaming over the fluctuant channels, especially in terms of the reduction of end-to-end delay. In this paper, we propose the Dynamic FEC-Distortion Optimization Algorithm to efficiently utilize the network bandwidth for better visual quality by means of hierarchical coding structure with the cascading error protection scheme. The optimization criteria are based on the unequal error protection by taking account of the error drifting problems from both temporal motion compensation and inter-layer prediction of the H.264/MPEG-4 AVC scalable video coding so that the priorities of each video components can be differentiated for the calculation of the distribution of parity packets. It is shown that the cascading error protection scheme makes the hierarchical structure of error erasure code more efficient. Also, the proposed algorithm works particularly well for fast motion videos and the performance does not depend on accurate estimation of packet loss rate.     

H.264分级编码在流媒体系统中的应用

设计并实现了一种基于H．264分级视频编码技术的视频交互系统,充分利用网络带宽,实现了网络带宽和视频质量之间的最优化,可满足不同网络用户的需求。     

Integrating Adaptive Video Streaming Service with Multi-access Network Management

In the future, mobile Internet access is expected to be over heterogeneous technologies and with support for dynamic adaptation in order to adjust efficiently to the varying network availability and conditions. To remove the burden of multi-access network management from users and operators, cognitive network management mechanisms may be used for obtaining the required automation over several networking functions like access selection and routing. In this paper, we introduce a novel control and signaling architecture employing cognitive mechanisms in optimizing video stream delivery over multi-access networks. We also present a prototype implementation of the proposed system encompassing open source components and supporting Scalable Video Coding (SVC). The initial results obtained from an experimental evaluation show how our solution may be used for optimizing video stream delivery in multi-access networks according to a user or operator defined policy.     

Performance of Multilayered Video Encoding and Delivery over Lossy Channels Using a Joint Source-Channel Coding Approach

In this paper, the performance of selected error-control schemes based on forward error-control (FEC) coding for H.263+ video transmission over an additive white Gaussian noise (AWGN) channel is studied. Joint source and channel coding (JSCC) techniques that employ single-layer and 2-layer H.263+ coding in conjunction with unequal error protection (UEP) to combat channel errors are quantitatively compared. Results indicate that with appropriate joint source and channel coding, tailored to the respective layers, FEC-based error control in combination with 2-layer video coding techniques can lead to more acceptable quality for wireless video delivery in the presence of channel impairments. Yong Pei is currently a tenure-track assistant professor in the Computer Science and Engineering Department, Wright State University, Dayton, OH. Previously he was a visiting assistant professor in the Electrical and Computer Engineering Department, University of Miami, Coral Gables, FL. He received his B.S. degree in electrical power engineering from Tsinghua University, Beijing, in 1996, and M.S. and Ph.D. degrees in electrical engineering from Rensselaer Polytechnic Institute, Troy, NY, in 1999 and 2002, respectively. His research interests include information theory, wireless communication systems and networks, and image/video compression and communications. He is a member of IEEE and ACM. James W. Modestino (S′67- M′73- SM′81- F′87) was born in Boston, MA, on April 27, 1940. He received the B.S. degree from Northeastern University, Boston, MA, in 1962, and the M.S. degree from the University of Pennsylvania, Philadelphia, PA, in 1964, both in electrical engineering. He also received the M.A. and Ph.D. degrees from Princeton University, Princeton, NJ, in 1968 and 1969, respectively. He has held a number of industrial positions, including positions with RCA Communications Systems Division, Camden, NJ; General Electronic Laboratories, Cambridge, MA; AVCO Systems Division, Wilmington, MA; GTE Laboratories, Waltham, MA; and MIT Lincoln Laboratories, Lexington, MA. From 1970 to 1972, he was an Assistant Professor in the Department of Electrical Engineering, Northeastern University. In 1972, he joined Rensselaer Polytechnic Institute, Troy, NY, where until leaving in 2002 he was an Institute Professor in the Electrical, Computer and Systems Engineering Department and Director of the Center for Image Processing Research. He has been responsible for teaching and research in the communication, information and signal processing systems area. His specific research interests include communication in fading dispersive channels; detection, estimation and filtering in impulsive or burst noise environments; digital signal, image and video processing; and multimedia communication systems and networks. In 2002 he joined the Department of Electrical and Computer Engineering at the University of Miami, Coral Gables, FL, as the Victor E. Clarke Endowed Scholar, Professor and Chair. He has held visiting positions with the University of California at San Diego, LaJolla, CA (1981–1982); GE Research and Development Center, Schenectady, NY (1988–1989); and Massachusetts Institute of Technology, Cambridge, MA (1995–1996). Dr. Modestino is a past member of the Board of Governors of the IEEE Information Theory Group. He is a past Associate Editor and Book Review Editor for the IEEE TRANSACTIONS ON INFORMATION THEORY. In 1984, he was co-recipient of the Stephen O. Rice Prize Paper Award from the IEEE Communications Society and in 2000 he was co-recipient of the best paper award at the International Packet Video Conference.     

无线网络中视频流的协作传输研究分析

提出一种两跳的协作传输方案,该方案利用无线信道广播特性,并结合应用层视频包的信息,通过选择成功监听到数据包的节点来承担协作传输任务,以此来降低重传次数,降低包的接入和服务延时,提高传输效率,以解决在无线环境下流媒体传输存在丢包率高、吞吐量受误码率影响、端到端的传输延时等QoS问题.     

基于IP网络音、视频流式传输的实现

提出了基于IP网络的音、视频流式传输的实现方案,对其相关技术作了分析;阐述了该方案的实现过程,并对音、视频流式传输的网络应用作了介绍.     

Reducing Channel Capacity for Scalable Video Coding in a Distributed Network

In recent years, the development of multimedia devices has meant that a wider multimedia streaming service can be supported, and there are now many ways in which TV channels can communicate with different terminals. Generally, scalable video streaming is known to provide more efficient channel capacity than simulcast video streaming. Simulcast video streaming requires a large network bandwidth for all resolutions, but scalable video streaming needs only one flow for all resolutions. In previous research, scalable video streaming has been compared with simulcast video streaming for network channel capacity, in two user simulation environments. The simulation results show that the channel capacity of SVC is 16% to 20% smaller than AVC, but scalable video streaming is not efficient because of the limit of the present network framework. In this paper, we propose a new network framework with an SVC extractor. The proposed network framework shows a channel capacity 50% (maximum) lower than that found in previous research studies.     

嵌入式MPEG-4网络视频流媒体服务器的设计与实现

详细介绍了一套基于MPEG-4压缩的嵌入式网络流媒体采集、传输、控制系统.嵌入式CPU采用S3C2410B,嵌入式操作系统采用嵌入式Linux操作系统,MPEG-4视频压缩芯片采用MPEG-4硬压缩芯片WIS GO7007B.     

Application of H.263+ Video Coding Modes in Lossy Packet Network Environments

The quality of real-time audio and video information transmitted via today's Internet suffers severely from often significant packet losses. While this problem is well understood and solved for existing audio coding schemes, support from the video coding standards themselves is required for video streams. This paper presents the newly introduced error resilience mechanisms built into the second version of H.263 (1998), known under its working name H.263+, and addresses the corresponding packetization format issues that together significantly improve the image quality at packet loss rates up to 20%. In particular, it is support from the video coding algorithm itself, paired with appropriate transport layer mechanisms, that leads to significant improvements of perceived image quality for communicative as well as retrieval applications at moderate bit rates up to some 100 kbit/s.     

Advances in Scalable Video Coding

Scalable video coding is attractive due to the capability of reconstructing lower resolution or lower quality signals from partial bit streams. This allows for simple solutions in adaptation to network and terminal capabilities. Different modalities of scalability are specified by video coding standards like MPEG-2 and MPEG-4. This paper gives a short overview over these techniques and analyzes in more detail the encoder/decoder drift problem, which is the major reason why scalable coding has been significantly less efficient than single-layer coding in most of these implementations. Only recently, new scalable video coding technology has evolved, which seems to close the gap of compression performance compared to state of the art single-layer video coding. New methods of efficient enhancement layer prediction were developed to improve traditional (motion-compensated hybrid) scalable coders, providing more flexible compromises on the drift problem. As a new technology trend, motion-compensated spatiotemporal wavelet coding has matured which entirely discards the drift and allows most flexible combinations of spatial, temporal, and signal-to-noise ratio (SNR) scalability with fine granularity over a broad range of data rates.     

可伸缩视频编码标准中的差错控制

可伸缩视频编码标准（SVC）是由ISO/IEC的MPEG专家组和ITU-T的VCEG专家组联合组成的联合视频专家组制定的对H.264/AVC视频编码标准的可伸缩性扩展。SVC通过对时间分辨率、空间分辨率和质量等参数的可伸缩性来适应不同网络环境下用户对视频资料的分辨率、帧率、质量的不同需求,是目前解决这一问题的最好方法之一。由于信道传输中大量存在的衰减、误码和数据丢失,差错控制显得十分重要,因而两种有效的对抗措施——错误弹性编码和错误隐藏技术被引入到SVC中：一部分是直接从H.264中继承而来;还有一部分则是利用了可伸缩视频的自身特性而提出的。文中将对SVC中一些有代表性的错误弹性和错误隐藏技术进行介绍,并给出部分实验结果来展示这些技术带来的性能提升。     

基于流媒体的网络视频监控系统研究与实现

介绍了流媒体网络视频监控系统的原理、设计方案和具体实现,给出了用流媒体进行视频数据的采集、显示、传输和控制的方案和实现方法,充分利用了流媒体网络传输特性和Windows多线程机制,详细介绍了如何把DirectShow和WinSock技术相结合,综合使用TCP和UDP多播通信方式,用双缓冲队列进行数据的控制,采用VC 实现了流媒体网络视频监控系统。