This paper contains the research proposal of Jingwen ZHU that was presented at the MMSys 2022 doctoral symposium. Just noticeable difference (JND) is the minimum amount of distortion from which human eyes can perceive difference between the original stimuli and distorted stimuli. With the rapid raise of multimedia demand, it is crucial to apply JND into the visual communication systems to use the least resources (e.g., bandwidth and storage) but without damaging the Quality of Experience (QoE) of end-users. In this thesis, we focus on the JND prediction for compressed video to guide the choice of optimal encoding parameters for video streaming service. In this paper, we analyse the limitations of the current JND prediction models and present five main research questions to address these challenges.