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Compression project >> Video Area Home
RUSSIAN VERSION

MSU Drop Frames Metric
(DFM)

MSU Graphics & Media Lab (Video Group)

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.


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:


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:

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/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.
Codecs comparisons
Objective and subjective quality evaluation
tests for video and image codecs
Call for MPEG4-AVC/H.264 codecs 2012
Ext. link: x264 parameters efficiency comparison
MSU Video Quality Measurement tools
Programs with different objective and subjective video quality metrics implementation
Video codecs projects
Different research and development
projects on video codecs
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Other information

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Last updated: 25-August-2011

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Project updated by
Server Team and MSU Video Group


Project sponsored by YUVsoft Corp.

Project supported by MSU Graphics & Media Lab

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