MSU Video Codecs Comparison 2022
Part 1: Hardware encoders
Seventeen Annual Video-Codecs Comparison by MSU
Moscow State University (MSU)
Graphics and Media Lab
Institute for Information
Russian Academy of Science
- 15.04.2023 Several typos corrected, leaderboard updated (note: several places changed)
- 14.04.2023 Report release
In MSU Hardware Video Codecs Comparison 2022, we analyzed 14 hardware codecs. There were 3 different speed usecases: 60 fps, 120 fps, 240 fps. 53 FullHD video sequences were used for testing.
The set of videos used in this comparison consists of less videos than FullHD part because of compatibility issues
- The places below are given by quality scores
- Encoders with scores closer than ~1% share one place
|Very-fast (60 fps)|
Best GPU encoder
Best FPGA encoder
Best ASIC encoder
The winners vary for different objective quality metrics. The participants were rated using BSQ-rate (enhanced BD-rate) scores .
 A. Zvezdakova, D. Kulikov, S. Zvezdakov, D. Vatolin, "BSQ-rate: a new approach for video-codec performance comparison and drawbacks of current solutions," 2020.
Speed/quality trade-off "Very-fast 60 fps" all sequences, YUV (6:1:1)-SSIM metric
Speed/quality trade-off "Very-fast 60 fps (neglecting lookahead i/o time" on three longest sequences, YUV (6:1:1)-SSIM metric
Please note that this year average video length was selected to be bigger to neglect lookahead effect. That is why two charts are very similar
Hardware-accelerated and ultra-fast codecs testing objectives
The main goal of this report is the presentation of a comparative evaluation of the quality of new and existing codecs using objective measures of assessment. The comparison was done using settings provided by the developers of each codec. Nevertheless, we required all presets to satisfy minimum speed requirement on the particular use case. The main task of the comparison is to analyze different encoders for the task of transcoding video – e.g., compressing video for personal use.
Test Hardware Characteristics for GPU/ASIC encoders
Test Hardware Characteristics for FPGA encoders
See more on Call For Codecs 2022 page
Videos for testing set were chosen from MSU video collection via a voting among comparison participants, organizers and an independend expert.
Final video set consists of 53 sequences including new videos from Vimeo and media.xiph.org derf's collection.
Descriptions of all test videos are presented in a separate PDF provided with the report.
Codec Analysis and Tuning for Codec Developers and Codec Users
Computer Graphics and Multimedia Laboratory of Moscow State University:
Strong and Weak Points of Your Codec
Independent Codec Estimation Comparing to Other Codecs for Different Use-cases
Encoder Features Implementation Optimality AnalysisWe perform encoder features effectiveness (speed/quality trade-off) analysis that could lead up to 30% increase in the speed/quality characteristics of your codec. We can help you to tune your codec and find best encoding parameters.
Special thanks to the following contributors of our previous comparisons
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Project sponsored by YUVsoft Corp.
Project supported by MSU Graphics & Media Lab