Modeling for Short-Form HTTP Adaptive Streaming Considering Memory Effect

Abstract

With the rapid development of Information and Communication Technology, mobile HTTP adaptive streaming (HAS) technologies have gained popularity. Thusly, the ability to evaluate users' Quality of Experience (QoE) is important. However, changing the transmitted video quality as employed by HAS poses more psychological impact like memory effect on subjectively perceived video quality and modeling HAS QoE considering memory effect is still a challenge. In this paper, we propose a QoE model for short-form HAS video considering memory effect. In order to assess the effect that each segment has in the overall video quality, a subjective online test based on the wisdom of the crowds is conducted. The result shows primacy effect is more obvious than recency effect in short-form videos. The proposed method is validated by plenty subjective tests and the simulation results show that our QoE model for short-form video is powerful.