Non-Deterministic Face Mask Removal Based On 3D Priors

Human visual system strongly responds to motion information and neurons in middle temporal area of the brain are sensitive to certain velocities. Thus distortions appeared on moving stimuli, as visually salient information, are visually important and can affect the quality of experience (QoE). Judder is a visual artifact that manifests as non-smooth motion when tracking a moving object on a digital display. in particular, the effect of judder becomes more significant in the wide field of view (FoV) displays where objects are observed in a longer trajectory and duration. Head-mounted display (HMD) maximizes FoV by enabling a full 360� immersive experience. However, the impact of judder on visual QoE of the omnidirectional video has never been studied. in this paper, we first established a database of omnidirectional videos to study human responses to the visual effect of judder on wide FoV HMDs. Two subjective tests were conducted to understand the impact of judder on video sequences compressed at different bit rates. Next, we proposed a novel QoE model considering the joint effect of judder, visual masking and picture quality. Experimental results indicate the effectiveness of the proposed model for accurate quality prediction of the videos with judder.