VQMT3D Project: Report 5 on 3D-video Quality Analysis
- Projects, ideas: Dr. Dmitriy Vatolin
- Implementation: Alexander Bokov, 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 report presents detailed (384 pages) evaluation results of 5 S3D films, which were converted to S3D format in post-production.
Analysed films |
Examined problems: |
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The report comprises five main parts:
- Thorough description of visual-discomfort potential causes that are mostly specific to 2D-3D conversion.
- Detailed analysis of five films. Each film description consists of
two parts:
- Per-frame analysis with charts showing metric values for each frame;
- Visualizations demonstrating artifacts in frames that earned a poor rating according to our metrics.
- Overall film comparison. Here go charts depicting the average metric values and distribution of these values in each film. Some charts showing overall comparison results are presented in the Overall evaluation results section on this page.
- Comparison of 2D and S3D versions of analysed films.
- Some results of our new approach to depth-map quality evaluation based on finding inconsistencies between stereo disparity and motion parallax.
Professional stereographers contributed to the analysis with valuable comments and feedbacks.
Contributed Stereographers
(in alphabetical order; for main part of the report)
- Ido Banai, Stereographer, Stereo Production Consultant, Filmmaker, Storyteller
- Deepak Dalal, Associate Stereoscopic Supervisor at Prime Focus World
- Ed W. Marsh, Filmmaker
- Fabien Remblier, S3D and 4K Director, Stereographer, Producer
- Wesley Sewell, Stereographic Supervisor
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
Comparison of average depth budget
Depth budget distribution analysis
Vertical Disparity
Comparison of average vertical disparity
Comparison of average vertical disparity for 2D-3D converted films only
Color Mismatch
Comparison of average color mismatch
Comparison of average color mismatch for 2D-3D converted films only
Color mismatch values distribution
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 (384 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
See Also
Super-Resolution for Video Compression Benchmark
Learn about the best SR methods for compressed videos and choose the best model to use with your codec
MSU 3D-video Quality Analysis. Report 12
MSU 3D-video Quality Analysis. Report 11
MSU 3D-video Quality Analysis. Report 10
Detection of stereo window violation
How to find objects that are present only in one view?
Depth continuity estimation in S3D video
How smooth is the depth transition between scenes?
Site structure
-
MSU Benchmark Collection
- Super-Resolution for Video Compression Benchmark
- Video Colorization 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