RUSSIAN VERSION

MSU Drop Frames Metric
(DFM)

MSU Graphics & Media Lab (Video Group)

Take a look at this article on the new site! Follow the link
https://videoprocessing.ai/vqmt/plugins-dfm.html

About Metrics Python Online help Changelog Screenshots Plugins & SDK

Project, Ideas: Dr. Dmitriy Vatolin
Implementation: Alexey Noskov
Updating and additions: Sergey Grishin

Common description

DFM is made to calculate number of drop-frames in sequence.

Change Log

[!] - Known bug
[+] - New Feature
[*] - Other

Version 1.1
[*] Visualization bug fixed for non-stadard resolution video

Version 1.0
[+] First plugin release

Visualization

Metric's visualization difference of Y-planes between two consecutive frames + 128. So, grey color (128, 128, 128) means that brigtness of a pixel is the same as at the previous frame.

Visualization example
Visualization example

Plots

Metric's plot is making after all measurements. "Zero" value means that current frame exist, "one" - that it is dropped. The resulting metric's value is number of drop-frames.

Plot's example
Plot's example

Algorithm

For each frame difference with the previous one is calculating. Metric's value is 1 if frames are identical, 0 otherwise.

Download

MSU Video Quality Measurement Tools

e-mail: 

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