Dmitriy Vatolin

Senior Researcher, Head of Lab

E-mail: dmitriy@graphics.cs.msu.ru

Istina profile

Google Scholar Profile

Dmitriy Vatolin graduated from the Applied Mathematics department of Moscow State University in 1996. He defended his Ph.D. thesis on computer graphics in 2000. A co-author of a book on data compression (Russian), published in 2003. A co-founder of compression.ru website — one of the biggest site on data compression and video processing in the world. From 2000 until 2006 took part in 5 start-up computer companies, in 3 as a co-founder, 4 of the companies are operating until now.

Research interests

Video and data compression

  • MP3 ZIP - lossless compressor of MP3 files with 1.2 ratio
  • Visicron Cyclon codec - was the best for videoconferences streams during 2001-2004.
  • MSU Lossless Video Codec - was the best in 2005-2007
  • MSU annual H.264 codec comparisons

Video processing

  • Set of "MSU video filters" - research prototypes, tested with wide auditory (more than 3000000 downloads, strong feedback)
  • Deinterlacer, Frame Rate Conversion and other filters for Samsung TV-sets and Broadcom STB.
  • MSU Video Quality Metrics Tool - the biggest amount of video quality metrics, most was created during projects of self-tuning video filters

3D video

  • Depth from Motion, Focus, Effects and Geometry - set of semi-automatic tools for fast depth reconstruction
  • Depth Propagation and depth editing - set of tools for accurate depth editing
  • Robust practical and fast GPU-accelerated Optical Flow
  • Stereo-multiview Generator with Matting and special occlusion processing
  • Stereo movies testing metrics (Focus mismatch, Color mismatch, Vertical parallax, Channels mismatch and etc).
  • 3D devices testing base

Projects

Video Matting Benchmark

Recent Publications

  1. Hacking VMAF and VMAF NEG: vulnerability to different preprocessing methods. M. Siniukov, A. Antsiferova, D. Kulikov, D. Vatolin. ArXiv e-prints, 2021
  2. Machine-Learning-Based Method for Content-Adaptive Video Encoding. S. Zvezdakov, D. Kondranin, D. Vatolin. 2021 Picture Coding Symposium (PCS), 2021
  3. Objective video quality metrics application to video codecs comparisons: choosing the best for subjective quality estimation. A. Antsiferova, A. Yakovenko, N. Safonov, D. Kulikov, A. Gushin, D. Vatolin. ArXiv e-prints, 2021
  4. Power Consumption of Video-Decoders on Various Android Devices. R. Kazantsev, D. Vatolin. 2021 Picture Coding Symposium (PCS), 2021
  5. Shot boundary detection method based on a new extensive dataset and mixed features. A. Gushchin, A. Antsiferova, D. Vatolin. ArXiv e-prints, 2021