基于H.264可伸缩视频流的自适应媒体播放算法

为了应对H.264可伸缩视频编码（SVC）应用中网络特性的波动，提出了一种预测播放中断与缓冲区溢出风险进行及早调节的自适应媒体播放(AMP)算法。该算法估算网络流量与视频图像组（GOP）结构中各帧长度用于风险预测，通过K步调节过程实现良好的调节平滑性与速度，并利用SVC的可伸缩性尽量减少溢出带来的质量损失。仿真结果表明，该算法在抑制播放中断、处理缓冲区溢出与抖动性能等方面，优于现行的平滑AMP与常规AMP算法。

Adaptive media playout algorithm for H.264 scalable video streaming

To cope with the variation of network conditions in scalable video streaming, a new Adaptive Media Playout (AMP) algorithm was proposed which predicates the risk of playout outage and buffer overflow and adjusts the frame rate in advance. The algorithm estimated the throughput of network and the lengths of frames in the video’s GOP structure for risk predication, realized adjustments in K steps for good smoothness and speed, and reduced quality loss of the video by exploiting the scalability of SVC stream. The simulation results show that the proposed algorithm outperforms the existing smooth and conventional AMP algorithms in outage suppressing, overflow processing and jitter performance.