IEEE 3333 1 2-2017 en the Perceptual Quality Assessment of Three-Dimensional (3D) and Ultra-High-Definition (UHD) Contents (IEEE Computer Society).pdf

1、 IEEE Standard for the Perceptual Quality Assessment of Three-Dimensional (3D) and Ultra-High-Definition (UHD) Contents Sponsored by the Standards Activities Board IEEE 3 Park Avenue New York, NY 10016-5997 USA IEEE Computer Society IEEE Std 3333.1.2-2017 IEEE Std 3333.1.2-2017 IEEE Standard for the

2、 Perceptual Quality Assessment of Three-Dimensional (3D) and Ultra-High-Definition (UHD) Contents Sponsor Standards Activities Board of the IEEE Computer Society Approved 6 December 2017 IEEE-SA Standards Board 2 Copyright 2018 IEEE. All rights reserved. Abstract: The world is witnessing a rapid adv

3、ance in stereoscopic 3D (S3D), and ultra-high-definition (UHD) technology. As a result, the need for accurate quality and visual-comfort assessment techniques to foster the display device industry as well as signal-processing area. In this standard, thorough assessments with respect to the human vis

4、ual system (HVS) for S3D and UHD contents shall be presented. Moreover, several image and video databases are also publicly provided for any research purpose. Keywords: accommodation and vergence conflict, foveation, human visual system, HVS, IEEE 3333.1.2, quality assessment, QoE, quality of experi

5、ence, saliency detection, stereoscopic, stereoscopic display, subjective assessment, UHD, UHD display, ultra-high definition, visual contents analysis, visual comfort, visual discomfort The Institute of Electrical and Electronics Engineers, Inc. 3 Park Avenue, New York, NY 10016-5997, USA Copyright

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35、ned from the IEEE Standards Association. 6 Copyright 2018 IEEE. All rights reserved. Participants At the time this standard was completed, the Human Factors for Visual Experiences Working Group had the following membership: Sanghoon Lee, Chair Sewoong Ahn Federica Battisti Marco Carli Sungho Cho Ric

36、ky Christanto SangKwon Jeong Xin Jin Hezerul Abdul Karim Haksub Kim Jinwoo Kim Jongyoo Kim SeongYong Kim Woojae Kim Patrick Le Callet Maria G. Martini Anh-Duc Nguyen Heeseok Oh An Ping Liquan Shen Min Zhang Yu Zhang The following members of the individual balloting committee voted on this standard.

37、Balloters may have voted for approval, disapproval, or abstention. Iwan Adhicandra Ping An Margaret Belska Demetrio Bucaneg Jr. Juan Carreon Randall Groves Werner Hoelzl Noriyuki Ikeuchi SangKwon Jeong Piotr Karocki SeongYong Kim Sanghoon Lee R. K. Rannow When the IEEE-SA Standards Board approved th

38、is standard on 6 December 2017, it had the following membership: Jean-Philippe Faure, Chair Gary Hoffman, Vice Chair John D. Kulick, Past Chair Konstantinos Karachalios, Secretary Chuck Adams Masayuki Ariyoshi Ted Burse Stephen Dukes Doug Edwards J. Travis Griffith Michael Janezic Thomas Koshy Josep

39、h L. Koepfinger* Kevin Lu Daleep Mohla Damir Novosel Ronald C. Petersen Annette D. Reilly Robby Robson Dorothy Stanley Adrian Stephens Mehmet Ulema Phil Wennblom Howard Wolfman Yu Yuan *Member Emeritus 7 Copyright 2018 IEEE. All rights reserved. Introduction This introduction is not part of IEEE Std

40、 3333.1.2-2017, IEEE Standard for the Perceptual Quality Assessment of Three-Dimensional (3D) and Ultra-High-Definition (UHD) Contents. This standard is specifically written for high-end 3D and UHD service purveyors, 3D and UHD display makers, and the 3D digital cinema industry. History On 18 Februa

41、ry 2011, a project was launched to develop IEEE P.3333.1, Quality Assessment of Three Dimensional (3D) Contents Based on Psychophysical Studies Working Group (WG), later changed to Human Factors for Visual Experiences Working Group, and a PAR was submitted. The IEEE Standards Association Corporate A

42、dvisory Group approved it on 8 March 2011, and the IEEE Standards Association Standards Board approved it by 31 March 2011. On 5 April 2011 the project IEEE P3333.1 was official approved. Finally, the WG called for participation on 27 May 2011. On 29 March 2014, IEEE P3333.1 split in two groups (IEE

43、E P3333.1.1 and IEEE P3333.1.2). IEEE P3333.1.1, IEEE Draft Standard for the Quality of Experience (QoE) and Visual-Comfort Assessments of Three-Dimensional (3D) Contents Based on Psychophysical Studies: the PARs request date was 6 November 2013, and its approval date was 26 March 2014. This standar

44、d establishes methods of visual discomfort and quality-of-experience (QoE) assessments of 3D contents based on psychophysical studies. These key factors are constructed in conjunction with the visual factors used to provide visual discomfort and QoE degradation. On 10 July 2015 the standard was offi

45、cially published. IEEE P3333.1.2, IEEE Draft Standard for the Perceptual Quality Assessment of Three-Dimensional (3D) and Ultra-High-Definition (UHD) Contents: the PARs request date was 6 November 2013, and its approval date was 27 March 2014. Originally, the title was IEEE Draft Standard for the Pe

46、rceptual Quality Assessment of Three Dimensional (3D) Contents Based on Physiological Mechanisms. However, on 4 March 2016 after being re-approved, the official name of the PAR changed to the current version. This standard establishes methods of quality assessment of 3D and UHD contents based on hum

47、an visual system analysis, such as perceptual quality and visual attention. 8 Copyright 2018 IEEE. All rights reserved. Contents 1. Scope 9 2. Normative references 9 3. Definitions, acronyms, and abbreviations 10 3.1 Definitions . 10 3.2 Acronyms and abbreviations . 11 4. An overview of the standard

48、 . 12 4.1 Quality assessment for 3D contents . 12 4.2 Quality assessment for ultra-high-definition contents . 12 5. Quality assessment for 3D contents 13 5.1 General 13 5.2 Full-reference quality assessment of stereoscopic images using disparity-gradient-phase similarity 13 5.3 Reduced reference rea

49、l-time quality assessment of stereoscopic images/video 16 5.4 Analysis of human 3D perception in stereo images . 20 5.5 Spatial quality pooling based on human fine 3D perception . 25 5.6 Objective image-quality assessment of 3D synthesized views 27 5.7 A 3D subjective quality-prediction model based on depth distortion 29 6. Quality-of-experience assessment for ultra-high-definition contents based on the human visual system 33 6.1 General 33 6.2 Blind sharpness prediction for ultra-high-definition videos based on the human visual system . 33 6.3 Visual preference ass