A Robust Quality Evaluator for Panoramic Videos

Most of the existing methods to evaluate the quality of panoramic content mainly focus on studying the quality evaluation of static panoramic images, rather than the more widely used dynamic panoramic videos. Also, the few panoramic video quality metrics that are available have obvious weaknesses in terms of robustness. To this end, we propose a robust quality evaluator for panoramic videos (RQE-PV). First, a viewport prediction module is proposed by developing a multi-step fixation screening mechanism to simulate the characteristics of limited visual range and excavate the process of human eye movement. Further, both the temporal and spatial features are explored and fused for quality prediction. The superior robustness of the proposed method has been demonstrated on two public panoramic video databases.