QoE Models for Adaptive Streaming: A Comprehensive Evaluation

Adaptive streaming has become a key technology for various multimedia services, such as online learning, mobile streaming, Internet TV, etc. However, because of throughput fluctuations, video quality may be dramatically varying during session. In addition, stalling events occur when segments do not reach the user device before their playback deadlines. It is well-known that variations and cause negative impacts on Quality Experience (QoE). Therefore, main challenge in adaptive how to evaluate QoE sessions taking into account influences these factors. Thus far, many models have been proposed tackle this issue. lot databases publicly available. there no extensive evaluations existing using databases. To fill gap, study, we conduct an evaluation thirteen twelve with different characteristics viewing devices, codecs, session durations. Through experiment results, important findings are provided regard prediction sessions. some suggestions effective employment presented. The expected useful researchers service providers make assessments improvements solutions streaming.