Video-Based Codec Optimization

Take a look at this article on the new site! Follow the link
https://videoprocessing.ai/codecs/optimization.html

EVT_logo

Effective Video Transcoding Project
 (in cooperation with CS MSU Graphics & Media Lab)

Basic info about Effective Video Transcoding

For almost 14 years, Lomonosov MSU Graphics&Media Lab's video group has been conducting video codecs comparisons. We know that almost always there is a possibility to find efficient encoding options for every video. We did a great study and learned how to determine optimal codec settings for a large number of video classes. After comparing our encoding options for x264 to the 2015 and 2016 comparisons' options and standard ones, we received very interesting and promising results.

15% bitrate savings
in average 		Encoding presets determined by our method
beats x264 developers' presets with keeping
encoding time and encoded video quality

These results are valuable for options giving the same or better objective quality of encoded video and the same or higher encoding speed comparing to standard presets. Thus, we can provide optimal encoding settings that will be a part of pareto optimal RD-curve, that is "shifted" from given encoder options.

We developed a way to find optimal encoding settings
for a large number of video classes

Percentage of file size reduction in average for a representative dataset of 77 videos:

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  • We don’t declare an “up-to-x%” bitrate reduction — average file size reduction is 15% higher comparing to standard x264 presets
  • We find presets that do not reduce encoding speed and objective quality of encoded video
    You give limitations, and we guarantee the same or higher objective quality and encoding speed

You use standard presets and don’t believe that it will work for your videos?
Give us a chance — request a demo, for free!

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 1. Give us your video and preset
Send us uncompressed video and encoding settings that you were going to use for compression
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 2. Receive a report
with optimal presets for your video and their gain under your preset
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 3. Choose and pay
We offer additional options for better compression and analysis
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 4. Get encoding settings
and encode similar videos with it 		OR/AND Get your video
compressed with chosen preset

Contact evt@compression.ru

Technical info

A more detailed technical report and examples will be available soon in this section. At the moment we can share a couple of cool charts.

We created a representative dataset of 385 videos chosen from 9000+ FullHD&4K videos

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12 million encoder launches were done on Intel Xeon E3-1125v3

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About us

Project mentor: Dr. Dmitriy Vatolin
Project team:

Sergey Zvezdakov Anastasia Antsiferova Denis Kondranin
Sergey Zvezdakov
email: szvezdakov@graphics.cs.msu.ru 		Anastasia Antsiferova
email: aantsiferova@graphics.cs.msu.ru 		Denis Kondranin
email: denis.kondranin@graphics.cs.msu.ru

Thanks to UMNIK and Eureka!Concept programs

umnik_logo eureka_logo innopraktika_logo

All Materials Menu

Video resources:

3D and stereo video
Projects on 3D and stereo video processing and analysis
MSU Video Quality Measurement tools
Programs with different objective and subjective video quality metrics implementation 		Codecs comparisons
Objective and subjective quality evaluation
tests for video and image codecs
Ext. link: x264 parameters efficiency comparison
Public MSU video filters
Here are available VirtualDub and AviSynth filters. For a given type of digital video filtration we typically develop a family of different algorithms and implementations. Generally there are also versions optimized for PC and hardware implementations (ASIC/FPGA/DSP). These optimized versions can be licensed to companies. Please contact us for details via video(at)graphics.cs.msu_ru. 		Filters for companies
We are working with Intel, Samsung, RealNetworks and other companies on adapting our filters other video processing algorithms for specific video streams, applications and hardware like TV-sets, graphics cards, etc. Some of such projects are non-exclusive. Also we have internal researches. Please let us know via video(at)graphics.cs.msu_ru if you are interested in acquiring a license for such filters or making a custom R&D project on video processing, compression, computer vision.
Video codecs projects
Different research and development
projects on video codecs 		Other
Other information
Last updated: 12-May-2022

Server size: 8069 files, 1215Mb (Server statistics)

Project updated by
Server Team and MSU Video Group

Project sponsored by YUVsoft Corp.

Project supported by MSU Graphics & Media Lab