基于Openflow网络的可分级视频流分发方法

A Distribution Method of Scalable Video Stream for Openflow-based Networks

为了提高多媒体云计算中视频流分发效率和重建图像质量,提出了一种用于多媒体云计算中基于Openflow网络的视频码流高效分发方法。建立了基于Openflow网络视频传输模型,在此模型基础上给出了分级视频流的分发模型、失真计算方法和分发方法步骤。在一定信道带宽的限制下,采用率失真优化的方法恰当地选择可分级码流,保证传输和接收的可分级码流率失真性能较好。仿真结果表明,与已有的典型方法相比,在不同信道带宽条件下均获得更好的重建图像质量。

An efficient distribution method of scalable video stream is proposed to improve the video distribution efficiency and reconstructed quality for Openflow-based networks in multimedia cloud computing. An Openflow-based scalable video stream transmis- sion model is built, on the basis of which the distribution model, the distortion computation method and the steps of distribution method of scalable bit stream are put forward. Given the bandwidth limitation, the rate-distortion optimization method is adopted to select the minimum distortion scalable bit stream properly, and to ensure that the scalable bit streams with better rate-distortion performance are transmitted and received according to priority. The simulation results show that the proposed method maintains the best quality of recon- struction of video sequence compared with several typical methods.