动态自适应的可伸缩视频流媒体组播编码-传输联合优化

项目名称： 动态自适应的可伸缩视频流媒体组播编码-传输联合优化

项目编号： No.61501293

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 无线电电子学、电信技术

项目作者： 李成林

作者单位： 上海交通大学

项目金额： 21万元

中文摘要： 本申请项目为适应日益推广的智能移动设备、以及日益增长的视频业务需求，通过对新一代高性能可伸缩视频编码（SHVC）标准和动态自适应流媒体（DASH）技术的研究，提出能够同时适配不同终端用户的差异化需求以及网络的动态异构特性的SVC-DASH联合编码器框架，以研究视频流组播的编码-传输联合优化。具体而言，构建编码器的服务指标与信源编码参数之间的理论模型，实现对输出码流码率-失真-延迟性能的适配控制。根据网络和用户的历史带宽情况对编码器的编码参数进行调控，实现基于用户反馈的最优信源编码方案。结合用户体验指标对用户的实际可伸缩视频接入层数进行选择，实现最优的码率资源分配方案。通过动态路由机制为视频数据包在网络中的实际传输实现动态的路由选择和转发，以最大化组播网络的视频数据包吞吐量。本项目从实际应用中抽象出科学问题，涉及信号处理、网络信息论的基础，预期的理论和技术成果有助于视频编码和传输技术的发展。

中文关键词： 可伸缩视频编码；动态自适应流媒体；视频通信；资源分配；动态路由

英文摘要： To support the increasing development of smart mobile devices and the increasing demand on video services, we aim to investigate the Scalable High Efficiency Video Coding (SHVC) and the Dynamic Adaptive Streaming over HTTP (DASH), to propose the joint SVC-DASH video coding framework which is able to adapt to different user demands and network dynamics, and to study the joint coding and transmission optimization of video multicast. More specifically, the theoretical models of encoder quality of service (QoS) metrics versus the source coding parameters are developed, in order to control the source coding rate-distortion-delay of the bit stream. Through the adjustment of the source coding parameters based on the network condition and the historical user bandwidth, the optimal source coding scheme is achieved. We also formulate the rate resource allocation optimization problem for multiple users, with which each user can choose optimal scalable video layers with quality of experience (QoE) guarantee. By using dynamic routing, the next hop relay node in the network is dynamically selected for the video packet at each node, which promises the maximum network multicast throughput. This project is founded on the combinatorial area of signal processing and network information theory, and the achievements could favor the ongoing researches on video coding and video transmission.

英文关键词： Scalable video coding;dynamic adaptive streaming;video communication;resource allocation;dynamic routing