Perceptual Quality Assessment of Virtual Reality Videos in the Wild

arXiv:2206.08751v3 Announce Type: replace
Abstract: Investigating how people perceive virtual reality (VR) videos in the wild (i.e., those captured by everyday users) is a crucial and challenging task in VR-related applications due to complex authentic distortions localized in space and time. Existing panoramic video databases only consider synthetic distortions, assume fixed viewing conditions, and are limited in size. To overcome these shortcomings, we construct the VR Video Quality in the Wild (VRVQW) database, containing $502$ user-generated videos with diverse content …

arxiv assessment cs.cv eess.iv quality reality type videos virtual virtual reality