Recommendation ITU-R BT.2020-2. “Parameter values for ultrahigh definition television systems for production and international programme exchange,” 2015.♣
Recommendation ITU-R BT.2100-2. “Image parameter values for high dynamic range television for use in production and international programme exchange,” 2018.♣
Recommendation ITU-R BT.710 “Subjective Assessment Methods for Image Quality in High-Definition Television,” 1998. ♣
Recommendation ITU-R BT.1129-2 “Subjective Assessment of Standard Definition Digital Television (SDTV) Systems,” 1998 ♣
Recommendation ITU-R BT.1127 “Relative Quality Requirements of Television Broadcast Systems”, 1994 ♣.
Recommendation ITU-R BT.2022 “General viewing conditions for subjective assessment of quality of SDTV and HDTV television pictures on flat panel displays”, 2012 ♣
Recommendation ITU-R BT.500-14. “Methodology for the subjective assessment of the quality of television pictures.” 2019 ♣
Recommendation ITU-T P.910, “Subjective video quality assessment methods for multimedia applications,” 2008 ♣
Report ITU-R BT.2390-3, “High dynamic range television for production and international programme exchange,” 2017 ♣
Report ITU-R BT.2408-0, “Operational practices in HDR television production,” 2017 ♣
UHDTV system
M. Sugawara, M. Emoto, K. Masaoka, Y. Nishida, and Y. Shishikui, “SUPER Hi-VISION for the next generation television,” ITE Transactions on MTA, vol. 1, no. 1, pp. 27–33, 2013 ♣
T. Hatada, H. Sakata, and H. Kusaka, “Psychological Analysis of the ‘Sensation of Reality’ Induced by a Visual Wide-Field Display,” SMPTE Motion Imaging Journal, vol. 89, no. 8, pp. 560–569, Aug. 1980. ♣
M. Emoto, K. Masaoka, M. Sugawara, and F. Okano, “Viewing angle effects from wide field video projection images on the human equilibrium,” Displays, vol. 26, no. 1, pp. 9–14, Jan. 2005. ♣
K. Masaoka, M. Emoto, M. Sugawara, and Y. Nojiri, “Contrast effect in evaluating the sense of presence for wide displays,” Journal of the Society for Information Display, vol. 14, no. 9, pp. 785–791, Sep. 2006. ♣
M. Emoto and M. Sugawara, “Critical Fusion Frequency for Bright and Wide Field-of-View Image Display,” Journal of Display Technology, vol. 8, no. 7, pp. 424–429, Jul. 2012. ♣
K. Omura, M. Sugawara, Y. Nojiri, “Evaluation of motion blur by comparison with still picture,” IEICE General Conference 2008, DS-3-3 (2008)
N. Narita, M. Kanazawa, and F. Okano, “Assessment to Determine Format for a UDW Television,” SMPTE Motion Imaging Journal, vol. 111, no. 12, 594–599 Dec. 2002.
K. Masaoka, Y. Nishida, M. Sugawara, E. Nakasu and Y. Nojiri, “Sensation of Realness from High-resolution Images of Real Objects,” IEEE Transactions on Broadcasting, vol. 59, no. 1, pp. 72–83, 2013. ♣
Y. Shishikui, Y. Fujita, K. Kubota, “Super Hi-Vision ―the star of the show!,” EBU Technical Review, 2009-Q0, 2009, p.1-13 ♣
M. Sugawara, S. Sawada, H. Fujinuma, Y. Shishikui, J. Zubrzycki, R. Weerakkody, A. Quested, “Super Hi-Vision at the London 2012 Olympics,” SMPTE Motion Imaging Journal, vol.122, no.1, 2013, p.29-38 ♣
T. Nakamura, Y. Iwasaki, S. Tajima, K. Masaoka, T. Yamashita and Y. Nishida, “MTF Measurement of a Super Hi-Vision Camera,” ITE Winter Annual Convention, pp. 11–18, 2013
UHDTV evaluation
Y. Tsushima, K. Komine, Y. Sawahata and N. Hiruma, “Higher Resolution Stimulus Facilitate Depth Perception: MT+ Plays a Significant Role in Monocular Depth Perception,” Scientific Reports, vol. 4, pp. 6687, 2014. doi:10.1038/srep06687 ♣
Y. Tsushima, K. Komine, Y. Sawahata and T. Morita, “Undetectable Changes in Image Resolution of Luminance–Contrast Gradients Affect Depth Perception,” Frontiers in Psychology, vol. 7, no. 242, 2016. doi:10.3389/fpsyg.2016.00242
M. Harasawa, Y. Sawahata, K. Komine and S. Shioiri, “Effect of content and viewing distance on the preferred size of moving images,” Journal of Vision, 20(3):6, p1-14, 2020 ♣
Y. Shishikui and Y. Sawahata, “Effects of Viewing Ultra-High-Resolution Images With Practical Viewing Distances on Familiar Impressions,” IEEE Transactions on Broadcasting, vol. 64, no. 2, June 2018, pp.498-507, 2018 ♣
D. Park, Y. Kim and Y. Park, “Congnitive effect on image quality in full ultra-high definition(8K),” Journal of Information Display, 2020, vol.21 No.2 103-111
A. Lachat, J. C. Gicquel, and J. Fournier, “How Perception of Ultra-high Definition is Modified by Viewing Distance and Screen Size,” Proceedings of SPIE-IS & T Electronic Imaging, vol. 9396, 93960Y, 2015
P. Hanhart, P. Korshunov and T. Ebrahimi, “Subjective Evaluation of Higher Dynamic Range Video,” Proc. SPIE 9217, Applications of Digital Image Processing XXXVII, 92170L, 2014
Philippe Hanhart, Pavel Korshunov, Touradj Ebrahimi, Yvonne Thomas,and Hans Hoffmann, “Subjective Quality Evaluation of High Dynamic Range Video and Display for Future TV,” SMPTE Motion Imaging Journal, vol.124, issue 4, DOI: 10.5594/j18551, 2015 ♣
C. Bist, R. Cozot, G. Madec and X. Ducloux, “QoE-based Brightness Control for HDR Displays,” 2017 Ninth International Conference on Quality of Multimedia Experience (QoMEX) ♣
K. C. Noland, M. Pindoria and A. Cotton, “Modelling Brightness Perception for High Dynamic Range Television,” 2017 Ninth International Conference on Quality of Multimedia Experience (QoMEX) ♣
C. Zhang, A. Perkis, S. Arndt, “Spatial Immersion versus Emotional Immersion,Which is More Immersive?,” 2017 Ninth International Conference on Quality of Multimedia Experience (QoMEX), 2017 ♣
J. Korhonen, “Predicting Personal Preferences in Subjective Video Quality Assessment,” 2017 Ninth International Conference on Quality of Multimedia Experience (QoMEX), 2017 ♣
A. Ahar, S. Mahmoudpou, G. Van Wallendael, T. Paridaens, P. Lambert and P. Schelkens, “A Just Noticeable Difference Subjective Test for High Dynamic Range Images,” 2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX), 2018 ♣
T. Bashford-Rogers, M. Melo, D. Marnerdes, M. Bessa, K. Debattista, and A. Chalmers, “Learning Preferential Perceptual Exposure for HDR Displays,” IEEE Access, vol.7, 2019 ♣
Y. Shishikui, “Interaction between high resolution and high dynamic range in psychological effects of ultra-high-definition television,” SPIE (to be published)
G.V. Wallendael, P. Coppens, T. Paridaens, N. V. Kets, W. V. den Broeck and P. Lambert, “Perceptual Quality of 4K-resolution Video Content Compared to HD,” 2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX) ♣
K. Masaoka, “Single display gamut size metric,” Journal of the SID 24/7, 2016 ♣
S.E. Palmer, K. B. Schloss, and J. Sammartino, “Visual Aesthetics and Human Preference,” Annual Review of Psychology, vol. 64, no. 1, pp. 77–107, Jan. 2013
R. Sitelo, J. Joskowics, M. Anedda, M. Murroni and D. Giusto, “Subjective video quality assessments for 4K UHDTV,” Proc. of IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), 2017, pp. 1–6.
M. Emoto, M. Sugawara, “Still Images of High Spatial Resolution Enable Short TV Viewing Distances,” ITE Trans. on MTA, vol.2, no.2, pp185-191, 2014 ♣
M. Emoto and M. Sugawara, “Viewers’ optimization of preferred viewing distance by spatial resolution of TV display,” Displays 45 (2016) 1–5, 2016 ♣
H. Nemoto, P. Hanhart, P. Korshunov and T. Ebrahimi, “Impact of Ultra High Definition on Visual Attention,” 22nd ACM international conference on Multimedia, pp.247-256, (2014)
Tim Borer, “Non-linear Opto-Electrical Transfer Functions for High Dynamic Range Television,” BBC Research & DevelopmentWhite Paper WHP 283, 2014 ♣
T. Borer and A. Cotton, “A “Display Independent” High Dynamic Range Television System,” BBC Research & DevelopmentWhite Paper WHP 309, 2015 ♣
小倉敏之, “HDRの解説と高画質技術の今後,” ITUジャーナル, vol.47, no.5, May 2017 ♣
K. C. Noland, M. Pindoria and A. Cotton, “Modelling Brightness Perception for High Dynamic Range Television,” BBC Research & Development White Paper WHP 341, 2019 ♣
K. C. Noland and M. Pindoria, “A Brightness Measure for High Dynamic Range Television,” BBC Research & Development White Paper WHP 342, 2019 ♣
Y. Shishikui: “Quality-Of-Experience Evaluation of 8K Ultra-High-Definition Television,” IEEE International Conference on Image Processing 2021, pp. 1404-1408, 2021 ♣
IQA/VQA/QoE
M. Nadenau, S. M. Winkler, D. Alleysson and M. Kunt, “Human Vision Models for Perceptually Optimized Image Processing – A Review,” Proc. of IEEE, 2000 ♣
J. You, U. Reiter, M. M. Hannuksela, M. Gabbou and A. Perkis, “Perceptual-based quality assessment for audio–visual services: A survey,” Signal Processing: Image Communication, vol. 25, issue 7, pp.482–501, 2010 ♣
P. Mohammadi, A.Ebrahimi-Moghadam, S. Shirani, “Subjective and Objective Quality Assessment of Image: A Survey,” Majlesi Journal of Electrical Engineering, 9(1), pp.55-83, 2014 ♣
G. Zhai and X. Min, “Perceptual image quality assessment: a survey,” Sci. China Inf. Sci. 63, 211301, 2020 ♣
P. S. Guterman, K. Fukuda, L. M. Wilcox and R. S. Allison, “Is Brighter Always Better? The Effects of Display and Ambient Luminance on Preferences for Digital Signage,” SID Symp. Dig. Tech. Papers, vol. 41, no. 1, pp. 1116-1119, 2010
W. Lu, X. Li, X. Gao, W. Tang, J Li and D. Tao, “A Video Quality Assessment Metric Based on Human Visual System”, Cognitive Computation 2(2), pp.120-131, 2010 ♣
J. Kufa and T Kratochvil, “Visual Quality Assessment Considering Ultra HD, Full HD Resolution and Viewing Distance,” 29th International Conference Radioelektronika (RADIOELEKTRONIKA), 2019
P. Hanhart, P. Korshunov and T. Ebrahimi, “Subjective Evaluation of Higher Dynamic Range Video,” Proceedings of SPIE 9217, Applications of Digital Image Processing XXXVII, 2014
Z. Wang, A.C. Bovik, H.R. Sheikh, and E.P. Simoncelli, “Image quality assessment: From error visibility to structural similarity,” IEEE Trans. Image Process., vol. 13, no. 4, pp. 600-612, Apr. 2004
H. R. Sheikh, and A. C. Bovik, “Image Information and Visual Quality,” IEEE Transactions on Image Processing, vol. 15, no. 2, Feb. 2006
A. Mittal, R. Soundararajan, and A.C. Bovik, “Making a “completely blind” image quality analyzer,” IEEE Signal Process. Letters, vol. 20, no. 3, pp. 209-212, Mar. 2013
Y. Benjamini and Y. Hochberg, “Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing,” Journal of the Royal Statistical Society: Series B (Methodological), vol. 57, no. 1, pp. 298–300, Jan. 1995
Tak-Wai Hui, Xiaoou Tang, and Chen Change Loy, “LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 8981-8989, 2018 http://www.cvlibs.net/datasets/kitti/
Andreas Geiger, Philip Lenz and Raquel Urtasun, “Are we ready for Autonomous Driving? The KITTI Vision Benchmark Suite,” Conference on Computer Vision and Pattern Recognition(CVPR), 2012
T.Lin, “Microsoft COCO:Common Objects in Context,” ECCV(2014) https://cocodataset.org/#home
S. Gupra and J. Malik, “Visual Semantic Role Labeling,” arXiv:1505.04474, 2015 Sijie Yan, Yuanjun Xiong, Dahua Lin, “Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition,”
Justus Thies1 Michael Zollhofer ¨ 2 Marc Stamminger1 Christian Theobalt2 Matthias Nießner ”Face2Face: Real-time Face Capture and Reenactment of RGB Videos” CVPR2016 https://www.youtube.com/watch?v=ohmajJTcpNk
Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, Aythami Morales and Javier Ortega-Garcia, “DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection” arXiv:2001.00179v3
