【摘要】 移动端视频流服务日益受到重视,智能终端码率自适应机制成为研究热点。当用户在移动端观看高清电影时需要消耗大量的网络流量,然而当用户不处于观影状态、对电影不感兴趣以及观看电影距离过远时,观看高清电影并不会给用户带来良好的体验,还会造成大量无线网络资源的浪费。文中设计了基于传感器的码率决策模型,综合考虑了用户观看位置、用户兴趣和设备状态。传感器决策模型可以优化传统的码率决策机制,因此设计了基于传感器的混合码率决策方法。实验证明,该方案在无线资源紧张的情况下能够有效节约无线网络的带宽资源。更多还原

【Abstract】 Mobile terminal video streaming service has been paid more and more attention,and intelligent terminal rate adaptation mechanism has become a research hotspot.It costs plenty of network traffic for the mobile users to watch high-definition movies.When users are not interested in the movies,or the terminals are far away from users,watching HD movies will not bring good experience and will waste a lot of wireless network traffic.This paper designed a sensorbased rate adaptive decision model,taking into account the users’ watching location,interests and equipment status.The sensor-based rate adaptive decision model can optimize the tranditional rate decision mechanism for designing sesorbased hybrid rate decision method.The experiments show that the proposed sensor-based rate adaption model can effectively save the wireless network bandwidth resources in the case of insufficient network bandwidth.更多还原