| dc.description.abstract | Rapidly advancement in wireless communication and evolution of electronic gadget technology provides an environment for realizing and presenting multimedia content beyond 3-dimension format. Multimedia services such as online games, high resolution videos, virtual, augmented, and extended reality are highly demand in term of network and user device resources. The demand imposes challenge in developing multimedia content which capture user satisfaction based on perceived quality over constrained network resources. Recently, network service providers consider quality of experience (QoE) based on users’ feedback as key component in evaluating quality of offered service. As a result, research on how to measure and quantify QoE subjectively has gain a lot of attention, thanks to availability of standardized subjective test approach. In this review, we analyses QoE assessment techniques and associated limitations for 360-degree video content. Moreover, performance of state-of-art machine learning models for QoE prediction in virtual-reality environment are presented. In addition, future research areas for QoE assessment by considering security aspects, collaborative virtual environment and 360-degree video streaming across the network is outlined. | en_US |
