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。预期在未来网络上承载的视频将(1)使用不同种类的编码方案进行编码，(2)以一定范围的质量级别进行编码，以及(3)在很大程度上可伸缩编码(例如，分成几个层)以使得能够在高度不同种类的网络上提供可伸缩的多媒体服务。到目前为止，这些异类和可伸缩编码视频的流量特征在很大程度上还没有被探索(只基于少量短视频序列进行了少量的初始观察)。对于这些业务特征对于异类和可伸缩编码视频的网络传输的影响更是知之甚少。因此，研究人员提出对异构性和可伸缩性编码视频的流量特性和网络传输进行全面的大规模研究。研究人员将进行调查1。结合视频质量和内容特征的流量特性(即统计特性)，以及2.网络容量，即给定网络能够支持的视频流的数量(多路传输性能)受给定的服务质量(Qos)约束，对于(A)使用不同编码方案以一定质量级别编码的不可伸缩视频和(B)可伸缩编码视频，这些流量和联网研究传统上基于真实视频流量的踪迹。然而，现有的视频轨迹库仅提供有限数量的单层MPEG1编码视频的帧大小轨迹。因此，现有的跟踪库对本研究(以及其他研究网络上可扩展的多媒体服务的研究人员也是如此)是不够的。因此，研究人员建议创建一个广泛的公开可用的异质和可伸缩编码视频的跟踪库，作为拟议研究的基础。研究人员将(1)编码100多个不同的视频，跨越广泛的视频流派和长度，并包括不同的纹理和运动特征。(2)使用不同的编码方案将每个视频编码到一系列质量级别的单个层(不可伸缩)。(3)使用时间、空间、SNR和数据分割可伸缩模式以及MPEG4的基于对象的可伸缩模式，将每个视频编码成几个质量层。(4)通过捕获视频流量、视频内容特征、将创建的视频跟踪库通过公开的网站进行传播，该跟踪库将促进在异质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。到目前为止，由于缺乏具有代表性的可伸缩编码视频痕迹，这一领域的研究一直受到阻碍。事实上，缺乏可伸缩视频的真实流量数据可能阻碍了针对不同多媒体服务的现有和可靠协议的开发。作为拟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可用的不可伸缩MPEG4和H.263en编码视频的踪迹库(http://www.eas.asu.edu/trace))，并研究了库中踪迹的统计特性。该库是提供MPEG4和H.263视频轨迹的第一次尝试。这些跟踪已被网络研究人员广泛使用。PI在能力上相辅相成。Martin Reisslein为该项目带来了为高速有线网络和无线网络中的视频流量开发和评估流量管理方案的专业知识。Sthuraman 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.