Screen content, which is often computer-generated, has many characteristics distinctly different from conventional camera-captured natural scene content. Such characteristic differences impose major challenges to the corresponding content quality assessment, which plays a critical role to ensure and improve the final user-perceived quality of experience (QoE) in various screen content communication and networking systems. Quality assessment of such screen content has attracted much attention recently, primarily because the screen content grows explosively due to the prevalence of cloud and remote computing applications in recent years, and due to the fact that conventional quality assessment methods can not handle such content effectively. As the most technology-oriented part of QoE modeling, image/video content/media quality assessment has drawn wide attention from researchers, and a large amount of work has been carried out to tackle the problem of screen content quality assessment. This article is intended to provide a systematic and timely review on this emerging research field, including (1) background of natural scene vs. screen content quality assessment; (2) characteristics of natural scene vs. screen content; (3) overview of screen content quality assessment methodologies and measures; (4) relevant benchmarks and comprehensive evaluation of the state-of-the-art; (5) discussions on generalizations from screen content quality assessment to QoE assessment, and other techniques beyond QoE assessment; and (6) unresolved challenges and promising future research directions. Throughout this article, we focus on the differences and similarities between screen content and conventional natural scene content. We expect that this review article shall provide readers with an overview of the background, history, recent progress, and future of the emerging screen content quality assessment research.

中文翻译：

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屏幕内容质量评估：概述、基准测试及其他

通常由计算机生成的屏幕内容具有许多明显不同于传统相机捕捉的自然场景内容的特征。这种特征差异对相应的内容质量评估提出了重大挑战，这对于确保和提高各种屏幕内容通信和网络系统中最终用户感知的体验质量（QoE）起着至关重要的作用。此类屏幕内容的质量评估近年来备受关注，主要是由于近年来云计算和远程计算应用的盛行，以及传统的质量评估方法无法有效处理此类内容，屏幕内容呈爆炸式增长。作为 QoE 建模中最注重技术的部分，图像/视频内容/媒体质量评估引起了研究人员的广泛关注，针对屏幕内容质量评估问题开展了大量工作。本文旨在对这一新兴研究领域进行系统及时的回顾，包括（1）自然场景背景与屏幕内容质量评估；(2) 自然场景与屏幕内容的特征；（三）屏幕内容质量评估方法和措施概述；（4）相关基准和state-of-the-art的综合评价；(5) 讨论从屏幕内容质量评估到 QoE 评估的概括，以及 QoE 评估之外的其他技术；(6) 未解决的挑战和有希望的未来研究方向。在整篇文章中，我们关注屏幕内容与常规自然场景内容的异同。我们希望这篇评论文章能够为读者提供对新兴屏幕内容质量评估研究的背景、历史、近期进展和未来的概述。