VQMT3D Project: Report 3 on 3D-video Quality Analysis

• Projects, ideas: Dr. Dmitriy Vatolin
• Implementation: Alexander Voronov, Denis Sumin, Marat Arsaev, Vyacheslav Napadovsky, Alexander Bokov, Alexander Belous, Alexey Shalpegin, Vladimir Yanushkovsky

In cooperation with IITP RAS

About the Report

The report presents detailed (305 pages) evaluation results of 5 S3D films, which were converted to S3D format in post-production.

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Analysed films	Examined problems:
Alice in Wonderland (2010) Clash of the Titans (2010) Conan the Barbarian (2011) Green Lantern (2011) Abraham Lincoln: Vampire Hunter (2012)	Edge-sharpness mismatch Cardboard effect Excessive horizontal disparity Vertical disparity Color mismatch Sharpness mismatch

The report comprises four main parts:

1. Thorough description of visual-discomfort potential causes that are mostly specific to 2D-3D conversion (see page from report)
2. Detailed analysis of five films. Each film description consists of two parts:
   • Per-frame analysis with charts showing metric values for each frame; (see page from report)
   • Visualizations demonstrating artifacts in frames that earned a poor rating according to our metrics (including new visualizations of problems, specific to 2D-3D conversion! See page from report)
3. Overall film comparison. Here go charts depicting the average metric values and distribution of these values in each film. (see page from report).
   Some charts showing overall comparison results are presented in the Overall evaluation results section on this page.
4. Comparison of 2D and S3D versions of analyzed films (see page from report).

Visualization of a frame from The Avengers. It is clearly visible that the utilized background-reconstruction algorithm lacks quality:

Professional stereographers contributed to the analysis with valuable comments and feedbacks.

Contributed Stereographers

(in alphabetical order)

• Robert Black, 3D R&D, 3D Consultant / Stereographer
• Ross Copeland, Online Editor / Stereographer & Colourist, Post Production Consultant
• Andrew Enyart, Stereographer, VFX Supervisor
• Srboljub Hetlerovic, Stereographer, VFX Supervisor
• Jon Karafin, Senior Scientist and Director of Production Technology at RealD
• Greg Passmore, Director, PassmoreLab
• Daniele Pugni, 3D Motion Graphic Designer Freelancer for Sky 3D Channel—Sky Italia SRL

Overall evaluation results

In this section we present selected overall comparison charts. We use two main types of charts:

• Dot chart which depicts average score of each film according to the metric
• Integral histogram which shows distribution of metric values throughout the film

Please, read more about the charts and particular films in the report.

Depth Budget

Vertical Disparity

Color Mismatch

Publications

If you want to make a reference to this project, please refer to one of the following publications:

1. Mikhail Erofeev, Dmitriy Vatolin, Alexander Voronov, Alexey Fedorov,
   “Toward an Objective Stereo-Video Quality Metric: Depth Perception of Textured Areas,”
   International Conference on 3D Imaging,
   2012. doi:10.1109/IC3D.2012.6615120 (download)
2. Dmitriy Akimov, Alexey Shestov, Alexander Voronov, Dmitriy Vatolin,
   “Automatic Left-Right Channel Swap Detection,”
   International Conference on 3D Imaging,
   2012. doi:10.1109/IC3D.2012.6615126 (download)
3. Alexander Voronov, Alexey Borisov, Dmitriy Vatolin,
   “System for automatic detection of distorted scenes in stereo video,”
   International Workshop on Video Processing and Quality Metrics for Consumer Electronic (VPQM-2012),
   pp. 138–143, 2012. (download)
4. Alexander Voronov, Dmitriy Vatolin, Denis Sumin, Vyacheslav Napadovsky, Alexey Borisov,
   “Towards Automatic Stereo-video Quality Assessment and Detection of Color and Sharpness Mismatch,”
   International Conference on 3D Imaging,
   2012. doi:10.1109/IC3D.2012.6615121 (download)
5. Alexander Voronov, Dmitriy Vatolin, Denis Sumin, Vyacheslav Napadovsky, Alexey Borisov,
   “Methodology for stereoscopic motion-picture quality assessment,”
   Proc. SPIE 8648, Stereoscopic Displays and Applications XXIV,
   vol. 8648, pp. 864810-1–864810-14, 2013. doi:10.1117/12.2008485 (download)
6. Alexander Bokov, Dmitriy Vatolin, Anton Zachesov, Alexander Belous, Mikhail Erofeev,
   “Automatic detection of artifacts in converted S3D video,”
   Proc. SPIE 9011, Stereoscopic Displays and Applications XXV (March 6, 2014),
   vol. 901112, 2014. doi:10.1117/12.2054330 (download)
7. Stanislav Dolganov, Mikhail Erofeev, Dmitriy Vatolin, Yury Gitman,
   “Detection of stuck-to-background objects in converted S3D movies,”
   2015 International Conference on 3D Imaging, IC3D 2015,
   2015. doi:10.1109/IC3D.2015.7391839 (download)
8. Yury Gitman, Can Bal, Mikhail Erofeev, Ankit Jain, Sergey Matyunin, Kyoung-Rok Lee, Alexander Voronov, Jason Juang, Dmitriy Vatolin, Truong Nguyen,
   “Delivering Enhanced 3D Video,”
   Intel Technology Journal,
   vol. 19, pp. 162–200, 2015. (download)
9. Dmitriy Vatolin, Alexander Bokov, Mikhail Erofeev, Vyacheslav Napadovsky,
   “Trends in S3D-Movie Quality Evaluated on 105 Films Using 10 Metrics,”
   Proceedings of Stereoscopic Displays and Applications XXVII,
   pp. SDA-439.1–SDA-439.10, 2016. doi:10.2352/ISSN.2470-1173.2016.5.SDA-439 (download)
10. Alexander Bokov, Sergey Lavrushkin, Mikhail Erofeev, Dmitriy Vatolin, Alexey Fedorov,
    “Toward fully automatic channel-mismatch detection and discomfort prediction for S3D video,”
    2016 International Conference on 3D Imaging (IC3D),
    2016. doi:10.1109/IC3D.2016.7823462 (download)
11. Dmitriy Vatolin, Sergey Lavrushkin,
    “Investigating and predicting the perceptibility protect of channel mismatch in stereoscopic video,”
    Moscow University Computational Mathematics and Cybernetics,
    vol. 40, pp. 185–191, 2016. doi:10.3103/s0278641916040075 (download)
12. Anastasia Antsiferova, Dmitriy Vatolin,
    “The influence of 3D video artifacts on discomfort of 302 viewers,”
    2017 International Conference on 3D Immersion (IC3D),
    2017. doi:10.1109/IC3D.2017.8251897 (download)
13. Dmitriy Vatolin, Alexander Bokov,
    “Sharpness Mismatch and 6 Other Stereoscopic Artifacts Measured on 10 Chinese S3D Movies,”
    Proceedings of Stereoscopic Displays and Applications XXVIII,
    pp. 137–144, 2017. doi:10.2352/ISSN.2470-1173.2017.5.SDA-340 (download)
14. Sergey Lavrushkin, Vitaliy Lyudvichenko, Dmitriy Vatolin,
    “Local Method of Color-Difference Correction Between Stereoscopic-Video Views,”
    Proceedings of the 2018 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON),
    2018. doi:10.1109/3DTV.2018.8478453 (download)
15. Aidar Khatiullin, Mikhail Erofeev, Dmitriy Vatolin,
    “Fast Occlusion Filling Method For Multiview Video Generation,”
    Proceedings of the 2018 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON),
    2018. doi:10.1109/3DTV.2018.8478562 (download)
16. Sergey Lavrushkin, Dmitriy Vatolin,
    “Channel-Mismatch Detection Algorithm for Stereoscopic Video Using Convolutional Neural Network,”
    Proceedings of the 2018 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON),
    2018. doi:10.1109/3DTV.2018.8478542 (download)
17. Alexander Ploshkin, Dmitriy Vatolin,
    “Accurate Method of Temporal Shift Estimation for 3D Video,”
    Proceedings of the 2018 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON),
    2018. doi:10.1109/3DTV.2018.8478431 (download)
18. Sergey Lavrushkin, Konstantin Kozhemyakov, Dmitriy Vatolin,
    “Neural-Network-Based Detection Methods for Color, Sharpness, and Geometry Artifacts in Stereoscopic and VR180 Videos,”
    International Conference on 3D Immersion (IC3D),
    2020. doi:10.1109/IC3D51119.2020.9376385 (download)
19. Kirill Malyshev, Sergey Lavrushkin, Dmitriy Vatolin,
    “Stereoscopic Dataset from A Video Game: Detecting Converged Axes and Perspective Distortions in S3D Videos,”
    International Conference on 3D Immersion (IC3D),
    2020. doi:10.1109/IC3D51119.2020.9376375 (download)
20. Lavrushkin Sergey, Molodetskikh Ivan, Kozhemyakov Konstantin, Vatolin Dmitriy,
    “Stereoscopic quality assessment of 1,000 VR180 videos using 8 metrics,”
    Electronic Imaging, 3D Measurement and Data Processing,
    2021. doi:10.2352/issn.2470-1173.2021.2.sda-350 (download)

Reports overview

Stereo-analysis project description

Report 1 (S3D shooting quality analysis of 5 movies)	Download (Additional info for bloggers and press)	Pages: 246 Figures: 295
Report 2 (S3D shooting quality analysis of 5 movies)	Download (Additional info for bloggers and press)	Pages: 342 Figures: 442
Report 3 (2D-3D conversion quality analysis of 5 movies)	Download (Additional info for bloggers and press)	Pages: 305 Figures: 336
Report 4 (S3D shooting quality analysis of 5 movies)	Download	Pages: 301 Figures: 402
Report 5 (2D-3D conversion quality analysis of 5 movies)	Download (Additional info for bloggers and press)	Pages: 384 Figures: 404
Report 6 (Stereo Window analysis of 10 movies)	Download (Additional info for bloggers and press)	Pages: 415 Figures: 455
Report 7 (Stereo Window analysis of 10 movies)	Download (Additional info for bloggers and press)	Pages: 333 Figures: 348
Report 8 (Rotate Analysis, Temporal Shift, Channels Swap, Zoom Mismatch in 25 movies)	Download (Additional info for bloggers and press)	Pages: 366 Figures: 361
Report 9 (Temporal Shift, Stuck-to-Background Objects, 2D to S3D conversion in Captured Films)	Download (Additional info for bloggers and press)	Pages: 467 Figures: 529
Report 10 (Overall analysis of 105 movies)	Download	Pages: 211 Figures: 270
Report 11 (Overall analysis of 10 selected Chinese movies)	Download	Pages: 322 Figures: 566
Report 12 (VR180 Quality Analysis)	Download	Pages: 348 Figures: 362

Download

Full report (305 pages) is absolutely free but download is available only for industry professionals (due to publication of real mistakes in the post-production process).

To download the report, please fill-in the request form.
You will get the download link for all reports (Reports #1–11) via e-mail.

All materials in this evaluation are used for research purposes and in accordance with Fair Use conditions. This evaluation is not published widely, but it is available for free under a subscription for stereoscopy and cinema technology professionals.

Feedback

Do you have any feedback on previous reports? What did you find useful, or was anything lacking?

What would you like to see in future reports (analysis of certain films, different metrics, charts and visualizations, etc.)?

We are open to collaboration. If you are interested in working with us, please write your propositions:

Any other feedback that doesn't fit in previous fields:

Contacts

For questions and proposition please contact us 3dmovietest@graphics.cs.msu.ru