Analysis and Optimization of Video Fluency Based on Big Data

摘要

In the age of 4G, mobile video has become the key development strategy of Internet companies and telecom operators. Because the user perception of video service has a direct impact on the reputation of the operators' networks, the evaluation of video traffic quality becomes one of the most important tasks for operators. Video is different from other types of service and it needs to inspect every packet to analyze video fluency which is a challenge for both the analytic algorithm and the server. This paper proposes a pre evaluation algorithm to evaluate video fluency which can dramatically reduce the inspection overhead as well as the server pressure.