VQMT3D Project: Report 7 on 3D-video Quality Analysis
- Projects, ideas: Dr. Dmitriy Vatolin
- Implementation: Alexander Bokov, Alexey Fedorov, Alexey Shalpegin, Alexander Novikov, Alexander Belous, Vladimir Yanushkovsky, Vyacheslav Napadovsky, Denis Sumin, Marat Arsaev, Alexander Voronov
In cooperation with IITP RAS
About the Report
The seventh report is dedicated to the analysis of stereo-window violation issue and use of floating windows in various S3D movies. The report presents detailed (333 pages) evaluation results of 10 S3D films, which were natively captured or post-converted.
Analysed films |
Examined problems: |
|
|
The report comprises three main parts:
- We thoroughly describe the stereo-window violation effect and how it can be fixed using a floating-window technique. Next we provide a brief explanation of how to understand charts and visualizations in this report.
- We offer a detailed analysis of 10 films. This analysis comprises per-frame charts showing floating-window and closest-object disparities for both the left and right borders of the screen. Visualizations of frames with the most noticeable stereo-window violations are provided under the corresponding charts.
- The report concludes with an overall film comparison. Here, we show charts depicting the noticeability of stereo-window violations and the intensity of floating-window use for each film.
Professional stereographers contributed to the analysis with valuable comments and feedbacks.
Contributed Stereographers
(in alphabetical order; for main part of the report)
- Marcus Alexander, Stereoscopic Designer, 3D Producer
- Olivier Cahen, Stereoscopic Consultant, Author
- Ross Copeland, Online Editor / Stereographer & Colourist, Post-Production Consultant
- Markus Lanxinger, Stereographer, Stereoscopic Supervisor
- Daniele Pugni, 3D Motion Graphic Designer Freelancer for Sky 3D Channel
- Enrico Perei, On-Set/Post Production Stereographer, VFX Supervisor
- Fabien Remblier, S3D and 4K Director, Stereographer, Producer
- Wesley Sewell, Stereographic Supervisor
- Thomas Villepoux, Director, Stereographer
Overall evaluation results
In this section we present selected overall comparison charts.
Please, read more about the charts and particular films in the report.
Stereo Window Violation vs. Release Date
Stereo Window Violation vs. Floating Window Usage Intensity
Stereo Window Violation vs. Closest Object Disparity
Publications
If you want to make a reference to this project, please refer to one of the following publications:
- 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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
Download
Full report (333 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
Contacts
For questions and proposition please contact us 3dmovietest@graphics.cs.msu.ru
-
MSU Benchmark Collection
- Video Colorization Benchmark
- Super-Resolution for Video Compression Benchmark
- Defenses for Image Quality Metrics Benchmark
- Learning-Based Image Compression Benchmark
- Super-Resolution Quality Metrics Benchmark
- Video Saliency Prediction Benchmark
- Metrics Robustness Benchmark
- Video Upscalers Benchmark
- Video Deblurring Benchmark
- Video Frame Interpolation Benchmark
- HDR Video Reconstruction Benchmark
- No-Reference Video Quality Metrics Benchmark
- Full-Reference Video Quality Metrics Benchmark
- Video Alignment and Retrieval Benchmark
- Mobile Video Codecs Benchmark
- Video Super-Resolution Benchmark
- Shot Boundary Detection Benchmark
- The VideoMatting Project
- Video Completion
- Codecs Comparisons & Optimization
- VQMT
- MSU Datasets Collection
- Metrics Research
- Video Quality Measurement Tool 3D
- Video Filters
- Other Projects