VQMT3D (Video Quality Measurement Tool 3D) project was created to improve stereoscopic films. Our aim is to help filmmakers produce high-quality 3D video by finding inexpensive ways of automatically enhancing film quality.

VQMT3D project is currently being developed. On this page we will collect recent information about the project.

We have developed metrics for all kinds of stereoscopic video. The following metrics are in use:

Visualizations of detected problems enable a possibility of clear stereoscopic problem understanding with just one picture. The following pictures are examples of found problems and of these visualizations, too.

An example of detected strong horizontal disparity. Frame #22030 from Galapagos: The Enchanted Voyage

An example of detected vertical disparity. Frame #19105 from Galapagos: The Enchanted Voyage

An example of detected color mismatch. Frame #53725 from Galapagos: The Enchanted Voyage

An example of detected sharpness mismatch. Frame #25100 from Galapagos: The Enchanted Voyage

When you want to make a reference to this project, please refer 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,” [pdf]
   International Conference on 3D Imaging (IC3D),
   pp. 1–6, 2012. doi:10.1109/IC3D.2012.6615120
2. D. Akimov, A. Shestov, A. Voronov, D. Vatolin,
   “Automatic Left-Right Channel Swap Detection,” [pdf]
   International Conference on 3D Imaging (IC3D),
   pp. 1–6, 2012. doi:10.1109/IC3D.2012.6615126
3. A. Voronov, A. Borisov, D. Vatolin,
   “System for Automatic Detection of Distorted Scenes in Stereo Video,” [pdf]
   Proceedings of the Sixth International Workshop on Video Processing and Quality Metrics (VPQM),
   2012.
4. A. Voronov, D. Vatolin, D. Sumin, V. Napadovsky, A. Borisov,
   “Towards Automatic Stereo-video Quality Assessment and Detection of Color and Sharpness Mismatch,” [pdf]
   International Conference on 3D Imaging (IC3D),
   pp. 1–6, 2012. doi:10.1109/IC3D.2012.6615121
5. A. Voronov, D. Vatolin, D. Sumin, V. Napadovsky, and A. Borisov,
   “Methodology for stereoscopic motion-picture quality assessment,” [pdf]
   Proc. SPIE 8648, Stereoscopic Displays and Applications XXIV,
   vol. 8648, pp. 864810-1–864810-14, March 2013. doi:10.1117/12.2008485
6. A. Bokov, D. Vatolin, A. Zachesov, A. Belous, and M. Erofeev,
   “Automatic detection of artifacts in converted S3D video,” [pdf]
   Proc. SPIE 9011, Stereoscopic Displays and Applications XXV,
   vol. 9011, pp. 901112-1–901112-14, March 2014. doi:10.1117/12.2054330

We wish to acknowledge the help provided by CMC Faculty of Lomonosov Moscow State University.
CMC Faculty provided us with extra computational capabilities and disk space which was needed for our research.

This work is partially supported by the Intel/Cisco Video Aware Wireless Network (VAWN) Program and by grant 10-01-00697a from the Russian Foundation for Basic Research.

We invite stereographers, researchers and proofreaders to join our 3D-film analysis project. We are open for collaboration and appreciate your ideas and contributions. We love to receive feedback and learn from the experience of people in the film-production industry.

If you would like to participate, please contact us: .

Stereographers

Currently, we are preparing our first reports on stereo-video quality of full-length films. We invite professional stereographers to comment on our reports. Our expertise is in research and in creating metrics, but the causes of some artifacts may be unclear for us. Analyzing these causes and estimating the severity of artifacts are a crucial part of our reports, so we welcome expert comments on these issues.

Every comment in the final report will be attributed to its respective author. We expect that some people will select comments of a concrete author, and we wish that your comments will be selected. Our hope is that these comments will all be beneficial for our readers.

If you are currently working on a film project, you may be interested in discussing the possibility of analyzing your film, or some portion thereof, before its release to help improve its 3D quality.

Researchers

Researchers working on stereoscopic quality assessment are welcome to collaborate with us on our project. We can run your algorithms on huge amounts of data and jointly publish the results.

We have developed a system to calculate metrics for full-length films. These metrics are loaded into the system as plug-ins, and our SDK for creating metrics is available on request. Thus, researchers need only provide binariesalgorithms and source code can remain confidential.

Calculations for one film take about a week (this estimate is for a full-length film, with calculations performed using three computers). GPGPU acceleration (CUDA or OpenCL) is available.

For researchers who would like to participate, we recommend sending us metrics that are already or soon to be published. Inclusion in our report may increase your citation index and the reputation of your work among experts. We can provide raw results from your metric for in-depth analysis or for use in literature. If your metric turns out to be useful, we will gladly include your results in our film comparison.

Proofreaders

We welcome readers who have strong English skills or who can help improve the clarity of our literature.

Any reader that offers numerous constructive comments on how to fix errors or otherwise improve the report will be included in the authors list. Everyone who help us improve our reports will be mentioned in the acknowledgments section.

Most importantly, proofreaders who are willing to help us improve our reports will be among the first to receive draft versions (under the condition of a signed nondisclosure agreement).

Project updated by
Server Team and MSU Video Group

Project sponsored by YUVsoft Corp.

Project supported by MSU Graphics & Media Lab