MSU Video Quality Measurement Tool: SDK

MSU Graphics & Media Lab (Video Group)

About Metrics Python Online help Changelog Screenshots Plugins & SDK

Plugins & Plugin SDK

Front SDK

Front SDK is a toolset that allows you developing you own metric to use in MSU VQMT.

Front SDK is free and can be used with all versions of MSU VQMT since version 1.2 (Free, PRO, Premium, and also available for Windows, Linux). To build your own plug-in, you should make a C-compatible shared library for the corresponding operaton system.

MSU VQMT front SDK is supplied with MSU VQMT installers for Windows.

You also can download front SDK and find a documentation, sample on our GitHub

We also have several opensource plug-in samples, of real plug-ins of MSU VQMT:

Please, don't hesitate to contact us in case of any question/problem. We are also open for feature requests

e-mail: video-measure@compression.ru

Back SDK

Back SDK is aimed to companies who wants to integrate it's own products with MSU VQMT metrics. MSU VQMT Back SDK allows you effective (singlethreaded or multithreaded) usage of all metrics of MSU VQMT and image transformations inside your application.

Proceed to purchase SDK: Buy SDK

VQMT SDK is provided as Linux shared library. VQMT back SDK compatible with C/C++, you can download interface here:

vqmt_sdk.h

Here you can also find SDK usage sample:

sdk_sample.cpp

Sample output:

$ ./vqmt_sdktest ~/video/cinepack.yuv ~/video/loseless.yuv yuv420p 1280 720 all
psnr:                      39.985
psnr PSNR (256):           39.985
psnr APSNR:                39.985
psnr APSNR (256):          39.985
ssim:                      0.960733
ssim precise:              0.96347
ssim GPU identical:        0.980512
msssim:                    0.989333
msssim precise:            0.993107
3ssim:                     0.948871
vqm:                       0.503724
blocking:                  40.4037
blurring:                  0.0115356
blurring delta:            2.29336
delta:                     0.000120949
msad:                      0.873773
mse:                       2.64237
dfm:                       0
bi_psnr:                   43.8853 2.65798
niqe:                      8.24557
scd:                       0
vmaf:                      73.8748
ne:                        0.00107096
bfm:                       0

Please, don't hesitate to contact us in case of any question/problem. We are also open for feature requests

e-mail: video-measure@compression.ru

MSU Video Quality Measurement Tools

Other resources

Video resources:

3D and stereo video
Projects on 3D and stereo video processing and analysis
MSU Video Quality Measurement tools
Programs with different objective and subjective video quality metrics implementation 		Codecs comparisons
Objective and subjective quality evaluation
tests for video and image codecs
Ext. link: x264 parameters efficiency comparison
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. 		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.
Video codecs projects
Different research and development
projects on video codecs 		Other
Other information
Last updated: 12-May-2022

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