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.

翻译：感知视频质量评估在视频处理领域中扮演着至关重要的角色，这是由于视频信号在采集、压缩、传输和显示等各阶段会引入质量退化。随着互联网通信和云服务技术的进步，视频内容及其流量呈指数级增长，进一步凸显了对视频质量进行准确快速评估的需求。因此，在过去二十年中，针对通用视频以及特定视频（例如流媒体、用户生成内容（UGC）、3D、虚拟与增强现实（VR和AR）、高帧率（HFR）、视听视频等）开展了大量主观与客观视频质量评估研究。本综述对上述视频质量评估研究进行了全面且最新的回顾。具体而言，我们首先回顾了主观视频质量评估方法与数据库，这些是验证视频质量度量性能的必要基础。其次，根据质量度量中所采用的方法，对通用型客观视频质量评估算法进行了综述与总结。第三，我们概述了针对特定应用和新兴主题的客观视频质量评估度量。最后，对当前最先进的视频质量评估度量的性能进行了比较与分析。本综述系统概述了视频质量评估领域的经典工作与最新进展，有助于其他研究人员快速入门并开展相关研究。