Video Traces: Create, Disseminate, Analyze

编码视频预计将占未来互联网和下一代无线网络流量的很大一部分。通过未来网络传输的视频预计将(1)使用异构编码方案进行编码，(2)在一系列质量水平上进行编码，以及(3)在很大程度上进行可扩展编码（例如，分成几层），以便在高度异构的网络上实现可扩展的多媒体服务。迄今为止，这些异构和可扩展编码视频的流量特征在很大程度上尚未被探索（仅基于少量短视频序列进行了一些初步观察）。对于异构和可扩展编码视频的网络传输，这些流量特性的含义所知甚少。因此，研究人员提出对异构、可扩展编码视频的流量特性和网络传输进行全面、大规模的研究。研究人员将进行调查。与视频质量和内容特征相结合的流量特征（即统计属性）；网络容量，即给定网络在给定服务质量（QoS）约束下可以支持的视频流数量（多路复用性能），用于(a)使用不同编码方案在一系列质量水平上编码的不可扩展视频，以及(b)可扩展编码视频。这些流量和网络研究传统上是基于真实视频流量的痕迹。然而，现有的视频跟踪库只能提供有限数量的单层mpeg1编码视频的帧大小跟踪。因此，现有的跟踪库不适合本研究（也不适合其他研究网络上可扩展多媒体服务的研究人员）。因此，研究人员建议创建一个广泛的公开可用的异构和可扩展编码视频跟踪库，作为提出的研究的基础。研究人员将(1)编码超过100个di。事件视频，跨越广泛的视频类型和长度，包括不同的纹理和运动特征。(2)使用di将每个视频编码成一个单层（不可扩展）的质量级别。erentencoding方案。(3)利用mpeg4的时间、空间、信噪比和数据分割可扩展性模式以及基于对象的可扩展性模式，将每个视频编码成多个质量层。(4)通过捕捉视频流量、视频内容特征和视频质量的轨迹，拓宽视频轨迹的概念。(5)通过公开的网站传播创建的视频跟踪库。跟踪库将促进对异构有线和无线网络中可扩展多媒体服务的协议和机制的研究。迄今为止，由于缺乏可扩展编码视频的代表性痕迹，这一领域的研究受到了阻碍。事实上，缺乏可扩展视频的实际流量数据可能阻碍了异构多媒体服务的高效可靠协议的开发。作为提议项目的种子工作的一部分，研究人员已经创建了一个初步的公开的不可扩展的mpeg4和H.263en编码视频的轨迹库（http://www.eas.asu.edu/trace），并研究了库中轨迹的统计特性。这个库是第一次尝试提供mpeg4和H.263视频跟踪。这些痕迹已经被网络研究人员广泛使用。pi的能力是互补的。Martin Reisslein为该项目带来了在开发和评估高速有线网络和无线网络视频流量管理方案方面的专业知识。Sethuraman Panchanathan为该项目带来了他在视频压缩、可扩展视频编码、视频内容分析和mpeg4方面的专业知识。

Encoded video is expected to account for a large portion of the traffic in the Internet of the futureand next generation wireless networks. The video carried over future networks is expected to be (1)coded using heterogeneous encoding schemes, (2) coded at a range of quality levels, and (3) to a large extent scalable encoded (e.g., into several layers) to enable scalable multimedia services over highly heterogeneous networks. To date the traffic characteristics of these heterogeneous and scalable encoded videos are largely unexplored (only a few initial observations based on a small number of short video sequences have been made). Even less is known about the implications of these traffic characteristics for the network transport of heterogeneous and scalable encoded video. Therefore, the researcher proposes a comprehensive large scale study of the traffic characteristics and the network transport of heterogeneous and scalable encoded video. The researcher will investigate1. the traffic characteristics (i.e., statistical properties) in conjunction with the video quality andthe content features, and2. the network capacity, i.e., the number of video streams that a given network can support(multiplexing performance) subject to given quality of service (QoS) constraintsboth for(a) non scalable video encoded at a range of quality levels using diffierent encoding schemes, and(b) scalable encoded video.These traffic and networking studies are traditionally based on traces of real video traffic. Theexisting video trace libraries, however, provide only frame size traces of a limited number of singlelayer MPEG 1 encoded videos. Hence, the existing trace libraries are inadequate for this study(and also for other researchers studying scalable multimedia services over networks). Therefore, the researcher proposes to create an extensive publicly available trace library of heterogeneous andscalable encoded video as the basis for the proposed study. The researchers will (1) encode over 100 di.erent videos, spanning a wide range of video genres and lengths andincluding diverse texture and motion characteristics.(2) encode each video into a single layer (non scalable) at a range of quality levels using di.erentencoding schemes.(3) encode each video into several quality layers, using the temporal, spatial, SNR, and datapartitioning scalability modes, as well as the object based scalability mode of MPEG 4.(4) broaden the notion of video traces by capturing the video traffic, the video content features,and the video quality in traces.(5) disseminate the created video trace library through publicly available web sites.The trace library will stimulate research on protocols and mechanisms for scalable multimediaservices in heterogeneous wireline and wireless networks. To date, the research in this area has been hampered by the lack of representative traces of scalable encoded video. In fact, the lack of realistic traffic data for scalable video may have prevented the development of e.cient and reliable protocols for heterogeneous multimedia services.As part of the seed work for the proposed project, the researchers have created a preliminary publicly available library of traces of non scalable MPEG 4 and H.263en coded video (http://www.eas.asu.edu/trace) and studied the statistical properties of the traces in the library. This library is a first attempt at providing MPEG 4 and H.263 video traces. These traces are already widely used by networking researchers.The PIs complement each other in their competencies. Martin Reisslein brings to the projecthis expertise in developing and evaluating traffic management schemes for video traffic in highspeed wireline networks and wireless networks. Sethuraman Panchanathan brings to the project hisexpertise in video compression, scalable video coding, video content analysis, and MPEG 4.