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MSU Video Quality Measurement Tool: SDK

MSU Graphics & Media Lab (Video Group)

MSU VQMT Information

Basic Information About VQMT
Setting & Screenshots (advanced files settings, visualization settings)
Metrics Info (PSNR, MSE, MSAD, SSIM, VQM, MSU Blurring/Blocking)
FAQ (Frequently Asked Questions)
Plugins & Plugin SDK[BI-PSNR, DFM, BFM, NE, SCD]
MSU VQMT program performance (New!)
Subjective quality metrics comparison (New!)

PRO Version Info (with command-line interface) [Full Documentation, PDF, 2.98 MB]
Download & Purchase [Brochure, PDF, 475kB]

Plugins & Plugin SDK

Plugins
SDK

Plugins

MSU Brightness Independent PSNR (BI-PSNR) - open source
This metrics allow to compare codecs correctly, even if one of them have changed average brightness of the frame.
MSU Drop Frames Metric (DFM) - open source
Calculates number of dropped frames.
MSU Brightness Flicking Metric (BFM) - open source
Estimates level of flicking.
MSU Noise Estimation Metric (NE)
Metrics Noise Estimator is intended for calculation of noise level for each frame of video sequence.
MSU Scene Change Detector (SCD)
Scene Change Detector is made to automatic identification of scene boundaries in video sequence.

Please, send your plugins to us, and we will publish them on this page

SDK

Since version 1.2 MSU Video Quality Measurement Tool supports plugins.

In MSU VQMT, each metric has following properties:

Amount of input videos (currently only 1 or 2 input video are supported)
Structure of output values (metric can have any amount of output numbers)
Configuration abilities (metric can be configured with a string)

PSNR is the simplest example of a metric. It has 2 input frames, returns only one value that corresponds to both frames and is not configurable. But some metrics have much more complicated structure: for instance, when visualization is enabled for MSU Blurring Metric, it gets two frames as input and returns one value for each frame.

MSU VQMT handles metric as follows:

Metric instance is created. Lifetime of one instance is one measurement of a pair (or one) of films. For example, if you compare with PSNR video O to videos A1 and A2, two instances of metric are created: first one to compare O and A1, second one to compare O and A2.
Metric is initialized with information about frame sizes and selected colorspace.
At this point, metric can reserve a number of identifiers (ID). Metric should take one ID for each return value. For example, PSNR has only one ID, and MSU Blurring Metric with visualization enabled has two IDs. It is possible to point which ID corresponds to which frames.
Metric is calculated: it is consequrently called on video frames.
Average result is obtained from metric.
Metric instance is destroyed.

For more details on how this interaction happens, see SDK documentation.

Software Development Kit (ZIP, 30 kb)

e-mail:

MSU Video Quality Measurement Tools

MSU Video Quality Measurement Tool (program for objective comparison)
MSU Human Perceptual Quality Metric (several metrics for exact visual tests)

Other resources

Video resources:

Call for MPEG4-AVC/H.264 codecs 2012

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
Call for MPEG4-AVC/H.264 codecs 2012

7-th MPEG4-AVC/H.264 Comparison (New!)
6-th MPEG4-AVC/H.264 Comparison
5-th MPEG4-AVC/H.264 Comparison
Codec Analysis for Companies: (New!)

Private Video Codec Comparison

Ext. link: ViCoS - Video Codecs Scoring System

MSU Video Quality Measurement Tool

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: 25-August-2011

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