• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Computer Communication and Networks >Improving Optimization-based Rate Adaptation in DASH System
【24h】

Improving Optimization-based Rate Adaptation in DASH System

机译：提高短划线系统的优化速率适应

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

More and more commercial video players use bitrate adaptation to adjust video quality according to varying network conditions. Optimization-based approaches are widely used for bitrate adaptation in Dynamic Adaptive Streaming over HTTP (DASH). Essentially, the optimization problem is solved based on the prediction of buffer dynamics. However, stochastic chunk size deviates observably the buffer occupancy from the expected value, making the evolution hard to predict. In order to get rid of this effect and improve the prediction accuracy for buffer occupancy, we propose an algorithm based on markov decision process with incorporating chunk size information so that only the network capacity variation need to be considered in the decision-making process. Experiment results show that our solution can effectively eliminate performance oscillation induced by variable chunk size and achieve a good QoE.
机译：越来越多的商业视频播放器使用比特率适应来根据不同的网络条件调整视频质量。基于优化的方法广泛用于HTTP（DASH）的动态自适应流中的比特率适应。基本上，基于缓冲器动态的预测来解决优化问题。然而，随机块尺寸可明显地偏离预期值的缓冲率，使得难以预测的进化。为了摆脱这种效果并改善缓冲占用率的预测精度，我们提出了一种基于马尔可夫决策过程的算法，其中包含块尺寸信息，使得只需要在决策过程中考虑网络容量变化。实验结果表明，我们的解决方案可以有效地消除可变块尺寸引起的性能振荡，实现良好的QoE。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号