  Perceptual video quality assessment plays a vital role in the field of video
processing due to the existence of quality degradations introduced in various
stages of video signal acquisition, compression, transmission and display. With
the advancement of internet communication and cloud service technology, video
content and traffic are growing exponentially, which further emphasizes the
requirement for accurate and rapid assessment of video quality. Therefore,
numerous subjective and objective video quality assessment studies have been
conducted over the past two decades for both generic videos and specific videos
such as streaming, user-generated content (UGC), 3D, virtual and augmented
reality (VR and AR), high frame rate (HFR), audio-visual, etc. This survey
provides an up-to-date and comprehensive review of these video quality
assessment studies. Specifically, we first review the subjective video quality
assessment methodologies and databases, which are necessary for validating the
performance of video quality metrics. Second, the objective video quality
assessment algorithms for general purposes are surveyed and concluded according
to the methodologies utilized in the quality measures. Third, we overview the
objective video quality assessment measures for specific applications and
emerging topics. Finally, the performances of the state-of-the-art video
quality assessment measures are compared and analyzed. This survey provides a
systematic overview of both classical works and recent progresses in the realm
of video quality assessment, which can help other researchers quickly access
the field and conduct relevant research.
