Video Area Home >> Video-Codec Comparisons >> HEVC/AV1 Video Codecs Comparison 2020

MSU UGC Subjective Express Comparison 2020

Video group head:	Dr. Dmitriy Vatolin
Project head:	Dr. Dmitriy Kulikov
Measurements, analysis:	Dr. Mikhail Erofeev, Anastasia Antsiferova, Egor Sklyarov, Alexander Yakovenko, Nickolay Safonov

Videos selection
Rules
Test hardware characteristics

Codecs analysis and tuning for codec developers and codec users
Thanks
Leave a feedback
Contact information

Description

In MSU UGC Subjective Express Comparison 2020, we analyzed 8 software codecs on UGC content.

For both parts of the report, 10 sequences were selected from YouTube UGC dataset. For objective report we used SSIM, PSNR and VMAF. In the subjective part of the report we conducted an experiment on the Subjectify.us platform.

According to the results of the research, PAV1 outperforms other codecs by YUV-SSIM, while Kingsoft is the best by Y-VMAF and subjective score.

	Objective	Subjective
Best quality (YUV-SSIM)	PAV1 x265 SVT-AV1	YUV-Subjective: Kingsoft PAV1 x265
Best quality (Y-VMAF)	Kingsoft D265 x265
Best quality (YUV-PSNR avg. MSE)	D265 x265 PAV1

Download

UGC Express Report Objective comparison of hardware-accelerated video encoders Released on December, 19 Full version for free	8 encoders PAV1, Kingsoft, D265, SVT-AV1, SVT-HEVC, SVT-VP9, x264, x265
	10 FullHD video sequences from YouTube UGC
	1 fps encoding Objective and subjective comparisons
	HTML report 900+ interactive charts

Participated codecs

	Codec name
1	PAV1
2	Kingsoft
3	D265
4	SVT-AV1
5	SVT-HEVC
6	SVT-VP9
7	x264
8	x265

Comparison Rules

HEVC codec testing objectives

The main goal of this report is the presentation of a comparative evaluation of the quality of new HEVC codecs and codecs of other standards 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

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

Videos

For this comparison we used video sequences from YouTube UGC dataset.

Name	Category	Resolution	Full ID
blue_hair	Vlog	1080P	Vlog_1080P-35cd
boys	Vlog	1080P	Vlog_1080P-52fe
game_streamer	Gaming	1080P	Gaming_1080P-6db2
happy_dog	Vlog	1080P	Vlog_1080P-5904
light_show	CoverSong	1080P	CoverSong_1080P-1b0c
mountain_dog	Vlog	1080P	Vlog_1080P-23cb
pool_underwater	Vlog	1080P	Vlog_1080P-4921
pumba	Vlog	1080P	Vlog_1080P-21f5
tourist	Vlog	1080P	Vlog_1080P-1df9
winter_riding	Vlog	1080P	Vlog_1080P-2600

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.

We could perform next tasks for codec developers and codec users.

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

Leave a feedback

Contact Information

compression.ru	in cooperation with	Lomonosov MSU Graphics & Media Lab (Video Group)
		Dubna State University
		Institute for Information Transmission Problems RAS