About Us
The Graphics & Media Lab Video Group is part of the Computer Science Department of Lomonosov Moscow State University. The Graphics Group began at the end of the 1980s, and the Graphics & Media Lab was officially founded in 1998. The main research avenues of the lab include areas of computer graphics, computer vision and media processing (audio, image, and video). A number of patents have been acquired based on the lab’s research, and other results have been presented in various publications. The main research avenues of the Graphics & Media Lab Video Group are video processing, video quality analysis, and video compression (codecs testing and tuning, quality metrics research, and codecs development).
Achievements
#1 video codecs analysis
The companies send us the codecs, and we find out, which one is better.
Here is a list of companies we collaborated with:
Our stats by 2019:
- 210 analysed video-codecs
- 22 published comparisons reports
- 500 thousand downloads of reports
Some of our reports are publically available.
#1 video quality estimation tool
We have VQMT for monoscopic and VQMT3D for stereoscopic video. We can predict in advance whether you will have a headache after watching the 3D movie. The tools have more quality assessment metrics than any concurrent ones declared. Take a look at our assessment reports on the projects’ pages. Our stats by 2019:
- 22 monoscopic video quality metrics
- 13 stereoscopic video quality metrics
- 150 estimated feature-length stereoscopic movies
- 9 reports on stereoscopic movies estimation
#1 video matting benchmark
The VideoMatting project is the first public objective benchmark for video-matting methods. Our work ranks existing methods and aids developers of new methods in improving their results. Previous cases of estimation:
- Comparison of video matting methods #1
- 13 competitors
- 30 test-cases
- 543 participants
- Comparison of video matting methods #2
- 14 competitors
- 30 test-cases
- 434 participants
#1 subjective quality estimation
The Subjectify project provides a crowd-sourced algorithms evaluation platform. It is designed for the subjective comparison of images, video, and sound processing methods. Previous cases of estimation:
- Comparison of video completion methods
- 6 competitors
- 7 test-cases
- 341 participant
- Comparison of saliency-aware encoder
- 2 competitors
- 31 test-case
- 98 participants
- “--tune ssim” comparison
- 4 competitors (× 3 bitrates)
- 4 test-cases
- 219 participants
- Video codec comparison
- 7 competitors (× 3 bitrates)
- 4 test-cases
- 325 participants (11530 answers)
- Netflix study replication
- 6-10 competitors (for various test-cases)
- 7 test-cases
- 375 participants
Other
- We make algorithms to correct and improve videos. Our filters have 3 million downloads by 2019.
- The EVT project increases the video’s quality and decreases the file size, by providing the optimal parameters for any codec. Yours too.
- The Compression project is the biggest resource on video compression.
- We have developed the exclusive tools for Intel, Samsung, Huawei, RealNetworks, and other companies, adapting our algorithms for specific video streams, applications and hardware like TV-sets, graphics cards, etc.
Contacts
We’re located in Moscow State University, Moscow, Russia. We’re open to cooperation. Feel free to contact us: dmitry@graphics.cs.msu.ru.