MSU Graphics & Media Lab Report #8 on stereo films quality assessment

The largest part of the new report is devoted to the detailed analysis of geometric inconsistencies, where we focus on rotation and scale (field-of-view) mismatches between the views in S3D movies. Implicitly these problems were already analyzed in our previous reports #1-5 through detection of vertical shifts between the views, but the new metric is designed to assess the possible origins of the problem directly. Furthermore, these type of mismatches tend to be more painful to the viewers compared to plain vertical parallax that was the main focus of the geometric analysis in the previous reports.

However, the next parts of the report are far more interesting…

It appears to be the case that we are the first to perform a large-scale evaluation of temporal shift in stereoscopic movies (we welcome any tips regarding other research in this field). Temporal shift is considered to be one of the most irritating artifacts, while even small subframe shifts can be consciously noticed by the viewers, especially in fast-paced scenes with a lot of motion. Our experiments seem to indicate that it is the most easily noticeable artifact among all the relatively common ones. That’s why it is rather surprising that 8 out of 15 natively captured S3D movies that we’ve evaluated contain at least one scene with temporal shift. We have detected 45 of such scenes in total, several of them even contain more than a half-frame shift, that could have been easily fixed (at least, partially) in post-production if those scenes were found at the right time. Moreover, there are software solutions that can fix subframe temporal discrepancies with a reasonable level of quality. And now, owing to advances in computer vision algorithms, it is possible to automatically detect this kind of problems and we hope that it will become a more widespread practice and help improve technical quality of S3D movies.

Image #1: Example of a temporal shift

Image #2: Evaluated movies sorted by total duration of scenes with temporal shift

Also it seems that we are the first to analyze a number of S3D movies for channel mismatch (scenes with swapped left and right views). It is certainly a very annoying problem, even more so than temporal shift. And its detection is further complicated by the fact that it is often hard to consciously notice channel mismatch, as our brains do a pretty good job of adapting and compensating for such anomalies. But nonetheless it definitely can contribute to the overall visual fatigue and headaches experienced by some viewers after watching S3D movies. Channel mismatch is obviously very easy to fix, so the main problem lies in its detection in the right time. And our results show that it is not that rare: 8 movies out of 25 that we have tested contain at least one scene with channel mismatch. We hope that new instruments will enable more efficient quality control and help bring S3D technical quality to a new level.

Image #3: Example of a channel mismatch

Image #4: Evaluated movies sorted by total duration of scenes with channel mismatch

Acknowledgements

We would like to thank the following people for providing valuable comments, opinions and feedback, which helped to improve this report (in alphabetical order):

A key motive of our reports is to improve the stereo quality and therefore to reduce eyestrain and headache. The Graphics & Media Lab hopes that a high 3D video quality would contribute to a continually increasing number of people, leaving the modern theaters without annoyance and with good impressions from the image quality and storytelling.

Currently we are looking for collaboration on upcoming reports #9,10. If you would like to participate by commenting on the draft versions of the reports, please feel free to contact us: 3dmovietest@graphics.cs.msu.ru. If, for some reason, you cannot make public comments for inclusion in the reports, we would really appreciate any other kind of feedback.

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)

Approximate release date: 2021

Contacts

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

16 Jun 2015
See Also
MSU Deinterlacer Benchmark 2020
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?
Detection of 3D movie scenes shot on converged axes
Another cause of headaches when watching 3D movies.
Parallax range estimation in S3D video
The parallax range should be both comfortable and entertaining for spectators.
Site structure