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arXiv 2402.03413cs.MMcs.CVeess.IV

感知视频质量评估:综述

Perceptual Video Quality Assessment: A Survey

Shanghai Jiao Tong University(上海交通大学)

Xiongkuo Min, Huiyu Duan, Wei Sun, Yucheng Zhu, Guangtao Zhai

AI总结:

本文综述了感知视频质量评估领域,涵盖主观与客观方法、通用及特定应用(如流媒体、UGC、VR/AR等),并比较了最新技术的性能,为研究者提供系统参考。

摘要:

由于视频信号在采集、压缩、传输和显示等各个阶段会引入质量退化,感知视频质量评估在视频处理领域发挥着至关重要的作用。随着互联网通信和云服务技术的进步,视频内容和流量呈指数级增长,这进一步强调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,针对通用视频和特定视频(如流媒体、用户生成内容(UGC)、3D、虚拟现实和增强现实(VR和AR)、高帧率(HFR)、音视频等)进行了大量主观和客观视频质量评估研究。本综述对这些视频质量评估研究进行了最新且全面的回顾。具体而言,我们首先回顾了主观视频质量评估方法和数据库,这些对于验证视频质量指标的性能是必要的。其次,根据质量度量中所采用的方法,对通用目的的客观视频质量评估算法进行了综述和总结。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措施。最后,对最先进的视频质量评估措施的性能进行了比较和分析。本综述对视频质量评估领域的经典工作和最新进展进行了系统概述,可以帮助其他研究人员快速进入该领域并开展相关研究。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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