Video Traces: Create, Disseminate, Analyze

在未来的互联网和下一代无线网络中，编码视频预计将占据很大一部分流量。在未来网络上承载的视频预计将（1）使用异构编码方案进行编码，（2）以一定范围的质量水平进行编码，以及（3）在很大程度上进行可伸缩编码（例如，分成几个层）以在高度异构的网络上实现可伸缩的多媒体服务。到目前为止，这些异构和可伸缩的编码视频的流量特性在很大程度上是未开发的（只有少数的初步观察的基础上，少量的短视频序列已作出）。甚至更少的是知道这些流量特性的影响，异构和可伸缩编码视频的网络传输。因此，研究者提出了一个全面的大规模研究的流量特性和网络传输的异构和可伸缩的编码视频。研究人员将调查1。业务特性（即，统计特性）结合视频质量和内容特征，以及2.网络容量，即，在给定的服务质量（QoS）约束下，给定网络可以支持的视频流的数量（复用性能），用于（a）使用不同编码方案在一定质量级别范围内编码的不可缩放视频，以及（B）可缩放编码视频。这些流量和网络研究传统上基于真实的视频流量的跟踪。然而，现有的视频跟踪库仅提供有限数量的单层MPEG 1编码视频的帧大小跟踪。因此，现有的跟踪库是不够的，这项研究（也为其他研究人员研究可扩展的多媒体服务网络）。因此，研究人员建议创建一个广泛的公开可用的跟踪库的异构和可伸缩的编码视频的基础上提出的研究。研究人员将（1）对100多个不同的视频进行编码，这些视频跨越了广泛的视频类型和长度，包括不同的纹理和运动特征。(2)使用分层编码方案将每个视频编码成质量等级范围内的单层（不可缩放）。(3)使用时间、空间、SNR和数据分割可伸缩性模式，以及MPEG 4的基于对象的可伸缩性模式，将每个视频编码为几个质量层。(4)通过捕获跟踪中的视频流量、视频内容特征和视频质量来扩展视频跟踪的概念。(5)通过公共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伸缩多媒体服务的协议和机制的研究。到目前为止，这方面的研究一直受到缺乏可伸缩编码视频的代表性痕迹。事实上，可伸缩视频的真实流量数据的缺乏可能已经阻碍了异构多媒体服务的有效和可靠的协议的发展。作为所提出的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非可伸缩MPEG 4和H.263en编码视频的痕迹的公开可用库（http：//www.eas.asu.edu/trace），并研究了库中痕迹的统计特性。这个库是提供MPEG 4和H.263视频跟踪的第一次尝试。这些跟踪已经被网络研究人员广泛使用。PI在他们的能力方面相互补充。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中视频流量的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、可伸缩视频编码、视频内容分析和MPEG 4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.