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Computer Graphics and Multimedia Laboratory of Moscow State University during many years is working in the area of video codec comparison and analysis using objective quality metrics. Eleven reports of modern video codec comparisons are publicly available, including four H.264 codec comparison, MPEG-2 and MPEG-4 comparison, MPEG-2 decoders error recovery test and many others. We have developed a number of methods and algorithms for codec comparison and analysis including separate codec’s features analysis and codec’s options analysis.

Comparison and Analysis Research Directions

Comparison is based on objective (automatic) quality metrics and allows us to:

• Use a representative test set (big number of video sequences, gigabytes of date processing)
• Utilize new types of visualization

Typical size of measured data during one comparison is more than ten GBytes. Currently we are the only organization which carries out public massive comparisons of modern video codecs in different areas.

Possible future research activities:

• New types of visualization. Allows better comparison results understanding
• Comparison automation improvement
• Usage of bitstream information (for H.264 codecs). Allows deeper codec analysis

Analysis of video codec algorithms

Our main idea is to use natural sequences modifications and synthetic sequences generation for detailed analysis of codecs. Implemented methods of this analysis allow us to:

• Test and compare different parts of codecs (such as ME, RC on GOP, mode decision, etc.).
• Provide detailed comparison of overall codecs performance which includes information about performance of main codec parts (without additional information).

Possible future research activities:

• New types of sequences and analyzers. Better analysis of specific codec parts.
• Usage of improved objective quality metrics to increase correlation with human subjective opinions.

Analysis of video codec options

Main use cases of these methods are the following:

• Find optimal presets for different speed/quality tradeoff values for a particular sequence
• Perform analysis of option efficiency relative to other codec options
• Perform comparative analysis of option efficiency using a reference codec

Possible future research activities:

• Analysis of options stability for different settings. Can be used to improve codec option set by introducing new video dependent options or creating internal dependence on video parameters.
• Improve performance of analysis using partial search (faster analysis for big sets of options).

Contact us

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Others videocodec comparisons resources

See all MSU Video Codec Comparisons

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MSU Video Quality Measurement Tool 2.6 released!
CALL FOR MPEG4-AVC/H.264 CODECS!

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. MSU Cartoon Restore (New!) MSU Noise Estimation MSU Frame Rate Conversion MSU Image Restoration MSU Denoising (Top!) MSU Old Cinema MSU Deblocking (Top!) MSU Smart Brightness and Contrast (Top!) MSU Smart Sharpen (Top!) MSU Noise generation MSU Noise estimation MSU Motion Estimation Information MSU Subtitles removal (New!) MSU Logo removal (Top!) MSU Deflicker (Top!) MSU Field Shift Fixer AviSynth plug-in MSU StegoVideo MSU Cartoonizer (Top!) MSU SmartDeblocking (Top!) MSU Color Enhancement MSU Old Color Restoration MSU TV Commercial Detector (New!) MSU filters FAQ (Read me!) MSU filters statistics	MSU/YUVsoft 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. 3D Displays Video Generation (New!) 3D Displays Video Capturing (New!) Stereo Video Depth Map Generation (New!) 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
Codecs comparisons Objective and subjective quality evaluation tests for video and image codecs 5-th MPEG4-AVC/H.264 Comparison (New!) Codec Analysis for Companies: (New!) Research and Development Projects (New!) ViCoS - Video Codecs Scoring System (New!) MSU Video Quality Measurement Tool (New!) Options Analysis of Codec x264 (New!) 4-th MPEG4-AVC/H.264 Comparison (Top!) Lossless Video Codecs Comparison 2007 3-rd MPEG4-AVC/H.264 Comparison HD Photo and JPEG 2000 Comparison MPEG-2 Decoders Crash Test (Top!) Subjective Compar. of 4 Modern Codecs (Top!) 2-nd MPEG-4 AVC/H.264 Comparison (Top!) FAQ of 2-nd H.264 Comparison 1-st MPEG-4 AVC/H.264 Codecs Comparison FAQ of 1-st H.264 Comparison JPEG 2000 Image Codecs Comparison (Top!) Lossless Video Codecs Comparison 2004 MPEG-4 SP/ASP Codecs Comparison (Top!) Video codecs comparison (old) Ext. link: x264 parameters efficiency comparison	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 (New!) (Top!) Implemented metrics short info: PSNR, Delta, MSAD, MSE, SSIM, VQM, MSU Blurring Metric, MSU Blocking Metric MSU Brightness Flicking Metric MSU Brightness Independent PSNR MSU Drop Frame Metric MSU Noise Estimation Metric MSU Scene Change Detector MSU VQMT FAQ MSU Human Perceptual Quality Metric - several metrics for exact visual tests (Top!) Implemented metrics short info: ITU-R BT.500-11: DSIS, DSCQS I & II, SCACJ; EBU: SAMVIQ; MSUCQE MSU PVQ Metric Tool FAQ
Video codecs projects 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 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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Last updated: 31-March-2009

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Project sponsored by YUVsoft Corp.

Project supported by MSU Graphics & Media Lab