摘要
现有vMOS评估体系主要基于CQT测试,采样点有限,无法评估所有的视频业务、视频用户感知,其他的基于大数据的视频卡顿算法还需突破。以"流片累积法"为核心,建立基于大数据的视频业务感知评估体系,与vMOS评估体系对比,验证该体系的准确性,实时监控视频业务感知、主动排查网络隐患,联合业务部门引入视频源,有效保障移动视频业务体验。
The existing VMOS evaluation system is mainly based on CQT testing. Sampling points are limited in number,can＇t evaluate all video services and video user perception. The other video data based on the large-scale video Caton algorithm needs to break through. Taking the Packet-by-packet accumulation algorithm as the core,and establishing the video service perception evaluation system based on large data,then comparing to the VMOS evaluation system to verify the accuracy of the system,achieve real-time monitoring video business perception,active troubleshooting network fault,joint other department unit to introduce video source,effectively project the mobile video service experience.
出处
《邮电设计技术》
2017年第2期10-16,共7页
Designing Techniques of Posts and Telecommunications
关键词
视频感知
卡顿
逐包积累算法
Video perception
Carton
Packet-by-packet accumulation algorithm
