Game Theory Based Bitrate Adaptation for Dash.Js Reference Player

2018 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)(2018)

引用 1|浏览36
暂无评分
摘要
Most existing DASH adaptive bitrate (ABR) schemes are designed to behave in their own self-interest and do not perform consistently in all network environments. In this work, we provide a practical implementation, materials and demonstration of a game theoretical ABR scheme, termed GTA [1], in the dash.js reference player. The GTA approach optimizes the viewer experience across multiple players without requiring explicit communication, and maintains a high playback bitrate while reducing startup delay, and minimizing quality switches and stalls.
更多
查看译文
关键词
HAS,DASH,QoE,game theory,ABR
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要