MSU Hardware Video Codecs Express Comparison 2020
Anastasia Antsiferova,
Egor Sklyarov,
Alexander Yakovenko,
Nickolay Safonov
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Description
In MSU Hardware Video Codecs Express Comparison 2020, we analyzed 4 hardware and 4 software codecs. For hardware acceleration, both GPU codecs and FPGA codecs were used. The minimum speed of the selected presets is 60 fps.
In the objective part of the report, 50 sequences were used, the metrics used: SSIM, PSNR and VMAF. In the subjective part of the report, we selected 10 videos and conducted an experiment on the Subjectify.us platform.
According to the results of the research, Tencent YaoChiV500 outperforms other codecs both in objective and subjective comparison.
| Objective (50 videos) | Subjective (10 videos) | |
|---|---|---|
| Best quality (YUV-SSIM) |
|
YUV-Subjective:
|
| Best quality (Y-VMAF) |
|
|
| Best quality (YUV-PSNR avg. MSE) |
|
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Objective and subjective comparisons of hardware-accelerated video encoders
Released on December, ...
Full version for free
4 hardware-accelerated and 4 software encoders
Tencent YaoChiV500, H.264 (NVENC), H.265 (NVENC), H.265 (NGCodec); x264, x265, H.264 (QSV), H.265 (QSV)
10 FullHD video sequences in subjective comparison
Objective and subjective comparisons
2400+ interactive charts
Participated codecs
| Codec name | Hardware acceleration | |
|---|---|---|
| 1 | Tencent YaoChiV500 | Xilinx Alveo U250 |
| 2 | H.264 (NVENC) | NVIDIA Titan RTX |
| 3 | H.265 (NVENC) | NVIDIA Titan RTX |
| 4 | H.265 (NGCodec) | AWS f1.2large |
| 5 | H.264 (QSV) | — |
| 6 | H.265 (QSV) | — |
| 7 | x264 | — |
| 8 | x265 (superfast) | — |
| 9 | x265 (ultrafast) | — |
Comparison Rules
Codec testing objectives
The main goal of this report is the presentation of a comparative evaluation of the quality of hardware-accelerated codecs and software codecs using objective measures of assessment. All presets satisfied minimum speed requirement — 60 fps. The main task of the comparison is to analyze different encoders for the task of transcoding video.
Test Hardware Characteristics
- CPU: Intel Socket 1151 Core i7 8700K (Coffee Lake) (3.7Ghz, 6C12T, TDP 95W)
- Mainboard: ASRock Z370M Pro4
- RAM: Crucial CT16G4DFD824A 2x16GB (totally 32 GB) DIMM DDR4 2400MHz CL15
- OS: Windows 10 x64
For hardware acceleration we used:
- FPGA — Xilinx Alveo U250
- FPGA — AWS f1.2large instance
- GPU — NVIDIA Titan RTX
Videos
We used the same 50 sequences as in the Main report. Read more on the Main report page: MSU Video Codecs Comparison 2020 Part 1: FullHD, objective.
Codec Analysis and Tuning for Codec Developers and Codec Users
Computer Graphics and Multimedia Laboratory of Moscow State University:
- 15+ years working in the area of video codec analysis and tuning using objective quality metrics and subjective comparisons.
- 27+ reports of video codec comparisons and analysis (H.265, H.264, AV1, VP9, MPEG-4, MPEG-2, decoders' error recovery).
- Methods and algorithms for codec comparison and analysis development, separate codec's features and codec's options analysis.
Strong and Weak Points of Your Codec
- Deep encoder parts analysis (ME, RC on GOP, mode decision, etc).
- Weak and strong points for your encoder and complete information about encoding quality on different content types.
- Encoding Quality improvement by the pre and post filtering (including technologies licensing).
Independent Codec Estimation Comparing to Other Codecs for Different Use-cases
- Comparative analysis of your encoder and other encoders.
- We have direct contact with many codec developers.
- You will know place of your encoder between other newest well-known encoders (compare encoding quality, speed, bitrate handling, etc.).
Encoder Features Implementation Optimality Analysis
We 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.Thanks
Special thanks to the following contributors of our previous comparisons
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Contact Information
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Materials about MSU Codec Comparison
See all MSU Video Codecs Comparisons
MSU video codecs comparisons resources:
- Introduction to Video Codecs Comparison
- Lossless Video Codecs Comparison 2004 (October 2004)
- MPEG-4 SP/ASP Video Codecs Comparison (March 2005)
- JPEG 2000 Image Codecs Comparison (September 2005)
- First Annual MPEG-4 AVC/ H.264 Video Codecs Comparison (January 2005)
- Second Annual MPEG-4 AVC/H.264 Video Codec Comparison (December 2005)
- Subjective Comparison of Modern Video Codecs (February 2006)
- MPEG-2 Video Decoders Comparison (May 2006)
- WMP and JPEG2000 Comparison (October 2006)
- Third Annual MPEG-4 AVC/H.264 Comparison (December 2006) (All versions for free!)
- Lossless Video Codecs Comparison 2007 (March 2007)
- Fourth Annual MPEG-4 AVC/H.264 Comparison (December 2007) (All versions for free!)
- Options Analysis of MPEG-4 AVC/H.264 Codec x264 (December 2008)
- Fifth MPEG-4 AVC/H.264 Comparison (May 2009) (All versions for free!)
- Sixth MPEG-4 AVC/H.264 Comparison (May 2010)
- Seventh MPEG-4 AVC/H.264 Comparison (May 2011)
- Eighth MPEG-4 AVC/H.264 Comparison (May 2012)
- Ninth MPEG-4 AVC/H.264 Comparison (Dec 2013)
- Tenth Video Codec Comparison (HEVC) (Oct 2015)
- Eleventh Video Codec Comparison (HEVC) (Aug 2016)
- Twelfth Video Codec Comparison (HEVC) (Aug 2017)
- Thirteen Video Codec Comparison (HEVC) (Aug 2018)
- Fourteen Video Codec Comparison (HEVC) (Sept 2019)
- Cloud Encoding Servoces Comparison 2019 (Dec 2019)
- Fifteen Video Codec Comparison (HEVC) (Dec 2020)
- Sixteen Video Codec Comparison (Dec 2021)
- Seventeen Video Codecs Comparisons (Nov 2022)
- Eighteenth Video Codecs Comparisons (Apr 2025)
- Nineteenth Video Codecs Comparisons (2025)
- Codec Analysis for Companies:
Other Materials
Video resources:
Projects on 3D and stereo video processing and analysis
- MSU S3D-video analysis reports
- MSU 3D Devices Testing
- 3D Displays Video Generation
- 3D Displays Video Capturing
- Stereo Video Depth Map Generation
- SAVAM Saliensy-Aware Video Compression & Dataset
- Video Matting Benchmark
- Video Inpainting Benchmark
MSU Video Quality Measurement tools
Programs with different objective and subjective video quality metrics implementation
- MSU Video Quality Measurement Tool - objective metrics for codecs and filters comparison
- MSU Human Perceptual Quality Metric - several metrics for exact visual tests
Objective and subjective quality evaluation
tests for video and image codecs
- MSU Video Codecs Comparison 2025
- MSU Video Codecs Comparison 2023-2024
- MSU Video Codecs Comparison 2022
- MSU Video Codecs Comparison 2021
- MSU Video Codecs Comparison 2020
- MSU Cloud Benchmark 2020
- Cloud Encoding Services Comparison 2019
- HEVC/AV1 Codec Comparison 2019
- HEVC/AV1 Codec Comparison 2018
- HEVC/AV1 Codec Comparison 2017
- HEVC Codec Comparison 2016
- HEVC Codec Comparison 2015
- 9-th MPEG4-AVC/H.264 Comparison
- 8-th MPEG4-AVC/H.264 Comparison
- 7-th MPEG4-AVC/H.264 Comparison
- 6-th MPEG4-AVC/H.264 Comparison
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.
- MSU Cartoon Restore
- MSU Noise Estimation
- MSU Frame Rate Conversion
- MSU Image Restoration
- MSU Denoising
- MSU Old Cinema
- MSU Deblocking
- MSU Smart Brightness and Contrast
- MSU Smart Sharpen
- MSU Noise generation
- MSU Noise estimation
- MSU Motion Estimation Information
- MSU Subtitles removal
- MSU Logo removal
- MSU Deflicker
- MSU Field Shift Fixer AviSynth plug-in
- MSU StegoVideo
- MSU Cartoonizer
- MSU SmartDeblocking
- MSU Color Enhancement
- MSU Old Color Restoration
- MSU TV Commercial Detector
- MSU filters FAQ
- MSU filters statistics
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.
- 3D Displays Video Generation
- 3D Displays Video Capturing
- Stereo Video Depth Map Generation
- Automatic Objects Segmentation
- Semiautomatic Objects Segmentation
- New Frame Rate Conversion
- New Deinterlacer
- MSU-Samsung Deinterlacing Project
- Digital TV Signal Enhancement
- Old Film Recovery
- Tuner TV Restore
- Panorama
- Video2Photo
- SuperResolution
- SuperPrecision
- MSU-Samsung image and video resampling
- MSU-Samsung Frame Rate Conversion
- Motion Phase filter
- Deshaker (video stabilization)
- Film Grain/Degrain filter
- Deblurring filter
- Video Content Search
Different research and development
projects on video codecs
- MSU Lossless Video Codec (Top!)
- MSU Screen Capture Lossless Codec (Top!)
- MSU MPEG-2 Video Codec
- x264 Codec Improvement
Other information
- Crazy gallery (filters screams :)
- License for commercial usage of MSU VideoGroup Public Software (please be careful: some soft like metrics has another license!)
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