MSU MPEG-4 SP/ASP
Codecs Comparison
For professional users and codec authors
MSU Graphics & Media Lab (Video Group)Take a look at this article on the new site! Follow the link
https://videoprocessing.ai/codecs/mpeg4-sp-asp-2005.html
Project head: Dr. Dmitriy Vatolin
Testing, charts, analysis: Dmitriy Kulikov, Alexander Parshin
Translating: Daria Kalinkina
Verification: Stanislav Soldatov
About comparison
Tested codecs:
- DivX 5.2.1
- DivX 4.12
- DivX 3.22
- MS MPEG-4 3688 v3
- XviD 1.0.3
- 3ivx D4 4.5.1
- OpenDivX 0.3
Main goals of the MPEG-4 SP/ASP testing
The main idea is to compare the results provided by the newest versions of MPEG-4 codecs when they are used by an ordinary user for home video compression. As a rule, such users prefer simple and popular programs to play DVD movies or digitize signal from tuner. Also they rarely change codec's default settings. So used default codecs settings in our comparison varying only the bitrate value.
Another goal of this testing was to trace the evolution of the DivX codec. Three versions of this codec took part in the testing: DivX 5.2.1, DivX 4.12, DivX 3.22.
The testing also illustrates the usage of two additional options in DivX 5.2.1: GMC (Global Motion Compensation) and Quarter Pixel, that were announced to improve quality on some video sequences.
Main parts of the comparison:
- Comparison in Y-PSNR, U-PSNR and V-PSNR metrics.
- Per frame comparison.
- Bitrate handling (does your movie fit on the CD?).
- Visual comparison.
- Informal codecs comparison.
Comparison with PSNR metric
PSNR - is a metric used to compare two pictures: the more per pixel difference between the pictures is the less is PSNR value. We use the logarithm of the average value of the per frame PSNR metric to compare two sequences. So the higher is the codec's line on the graph the better is the quality of compression performed by this codec. Y-PSNR is the difference in brightness component, U-PSNR and V-PSNR are the differences in hue components.
The diagram below clearly demonstrates the advantage of DivX 5.2.1 over XviD 1.0.3.
On this picture Y-PSNR values are shown. The higher is the line the better is the quality.
Visual codec comparison
In most cases the PSNR value is in accordance with the compression quality. But sometimes this metric does not reflect presence of some important visual artefacts. For example, we cannot estimate the quality of the blocking artefacts compensation performed by some codec or detect the presence of the "snow" artefacts (strong flicking of the stand-alone pixels) in the compressed video using only PSNR metric. Also in some cases it is difficult to say whether 2 dB difference is significant or not.
That is why we use visual comparison of some frames in addition to the PSNR graphics. This will not help us to understand the whole situation, but will allow to demonstrate some interesting features of the codec (e.g. block artifacts compensation).
DivX 5.2.1
XviD 1.0.3
Informal codecs comparison
Different codecs show significantly different results on different sequences. That happens because of all represented sequences have different character (motion, noise e.t.c.). This fact allows to define which codecs do well with any kind of video sequences and which provide good results only for some class of sequences. But all the diagrams do not answer the question whether there is a leader among these codecs which could be used for compression of most types of video. In order to find out general characteristics of each codec on the whole testing set we give different scores to the codecs according to some special rules and place the results in a table. The more scores some codec gets the better it is.
Download
- MSU MPEG-4 SP/ASP Codecs Comparison - PDF (7.63 Mb)
- MSU MPEG-4 SP/ASP Codecs Comparison - ZIP (6.1 Mb)
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!)
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MSU Video Group
Project sponsored by YUVsoft Corp.
Project supported by MSU Graphics & Media Lab