Application Specific Distributed Processing Networks

在过去的十年中，网络上的视频信号产生的流量有了巨大的增长。随着两位数的同比增长预测，IPTV和视频流服务将在网络流量中占据越来越突出的地位。诸如视频信号的内容的特征在于对失真的容忍度本质上不同于文件传输应用，在文件传输应用中，内容的比特精确再现是必需的。该方案的目的是利用这种固有的容错性，并结合利用网络多样性的新的路由机制，以增加视频网络的整体健壮性。 这项提案试图回答的主要问题是，我们如何通过利用信号固有的容损性的分集技术，在目前可行的基础上改进网络视频传输。 为了寻找这个问题的答案，我们将探索几种新的视频传输体系结构，我们称之为特定于应用的分布式处理网络，包括能量高效的多描述传输、网络编码的多描述和使用实场编码的分布式编码。 该项目的成果将在互联网视频内容传输、视频监控系统、医疗保健监控网络和电网信息网络中得到应用。同时，该计划将在几个潜在的工业合作伙伴感兴趣的领域培训高素质的人员。

Over the last decade, the traffic generated by video signals over networks has grown tremendously. With year-to-year growth predictions in the double digits, IPTV and video streaming services will occupy a more and more prominent place in network traffic. Contents such as video signals are characterized by a tolerance to distortion that is inherently different from file transfer applications, in which bit-exact reproduction of contents is a necessity. The aim of this proposal is to exploit this inherent loss tolerance in conjunction with new routing mechanisms that exploit network diversity, in order to increase the overall robustness of video networks. The main question that this proposal will try to answer is how we can improve networked video transmission beyond what is currently feasible, through diversity techniques that take advantage of the signal's inherent loss tolerance. In search for an answer to this question, we will explore several novel architectures for video transmission, that we call Application Specific Distributed Processing Networks, including energy-efficient Multiple Description delivery, Network-Coded Multiple Descriptions and distributed coding with real-field codes. The results obtained in this program will find applications in video contents delivery over the internet, video surveillance systems, healthcare monitoring networks and information networks for the power grid. In parallel, the program will train highly qualified personnel in areas of interest to several potential industrial partners.