State-of-the-Art in QoE for Video streaming

Abstract

Videos have been the most commonly used source of entertainment on the Internet, accounting for 65% of the world’s Internet traffic in 2020. Efficient internet delivery of multimedia with low bandwidth requirements using DASH (Dynamic adaptive streaming HTTP) means better quality for the end-user and lower costs for the server. With HTTP streaming, it is possible to provide a weak quality of service (QoS), but a better quality of experience (QoE), because HTTP offers a stable meaning of transportation. In this paper, a comprehensive survey on the use of Machine learning (ML) for predicate QoE for user progress of this research area. Furthermore, what are the current trending algorithms in frontier ML research, and discuss why you prefer dealing with “HTTP DASH” describes the benefits of using QoE with HTTP webpage.