APSIPA Transactions on Signal and Information Processing > Vol 8 > Issue 1

Modern trends on quality of experience assessment and future work

Woojae Kim, Yonsei University, Korea, Sewoong Ahn, Yonsei University, Korea, Anh-Duc Nguyen, Yonsei University, Korea, Jinwoo Kim, Yonsei University, Korea, Jaekyung Kim, Yonsei University, Korea, Heeseok Oh, Electronics and Telecommunications Research Institute (ETRI), Korea, Sanghoon Lee, Yonsei University, Korea, slee@yonsei.ac.kr
 
Suggested Citation
Woojae Kim, Sewoong Ahn, Anh-Duc Nguyen, Jinwoo Kim, Jaekyung Kim, Heeseok Oh and Sanghoon Lee (2019), "Modern trends on quality of experience assessment and future work", APSIPA Transactions on Signal and Information Processing: Vol. 8: No. 1, e23. http://dx.doi.org/10.1017/ATSIP.2019.16

Publication Date: 10 Oct 2019
© 2019 Woojae Kim, Sewoong Ahn, Anh-Duc Nguyen, Jinwoo Kim, Jaekyung Kim, Heeseok Oh and Sanghoon Lee
 
Subjects
 
Keywords
Quality of Experience (QoE), Human Visual System (HVS), Image Quality Assessment (IQA), Video Quality Assessment (VQA), Visual Preference Assessment, Visual Discomfort Assessment (VDP), VR Sickness Assessment (VRSA)
 

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Open Access

This is published under the terms of the Creative Commons Attribution licence.

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In this article:
I. INTRODUCTION 
II. OVERVIEW OF QOE ASSESSMENT 
III. QOE ON 2D DISPLAY 
IV. QOE ON STEREOSCOPIC 3D DISPLAY 
V. QOE ON HMD DEVICE 
VI. FUTURE TRENDS ON QOE 
VII. CONCLUSION 

Abstract

Over the past 20 years, research on quality of experience (QoE) has been actively expanded even to cover aesthetic, emotional and psychological experiences. QoE has been an important research topic in determining the perceptual factors that are essential to users in keeping with the emergence of new display technologies. In this paper, we provide in-depth reviews of recent assessment studies in this field. Compared to previous reviews, our research examines the human factors observed over various recent displays and their associated assessment methods. In this study, we first provide a comprehensive QoE analysis on 2D display including image/video quality assessment (I/VQA), visual preference, and human visual system-related studies. Second, we analyze stereoscopic 3D (S3D) QoE research on the topics of I/VQA and visual discomfort from the human perception point of view on S3D display. Third, we investigate QoE in a head-mounted display-based virtual reality (VR) environment, and deal with VR sickness and 360 I/VQA with their individual approach. All of our reviews are analyzed through comparison of benchmark models. Furthermore, we layout QoE works on future display and modern deep-learning applications.

DOI:10.1017/ATSIP.2019.16