Imen Triki, Quanyan Zhu, Rachid Elazouzi, Majed Haddad, and Zhiheng Xu
In general, the quality of experience QoE is subjective and context-dependent, identifying and calculating the factors that affect QoE is a difficult task. Recently, a lot of effort has been devoted to estimating the users QoE in order to enhance video delivery. In the literature, most of the QoE-driven optimization schemes that realize trade-offs among different quality metrics have been addressed under the assumption of homogenous populations, nevertheless, people perceptions on a given video quality may not be the same, which makes the QoE optimization harder. This paper aims at taking a step further to address this limitation to meet all the users profiles.