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RUSSIAN VERSION

MSU Brightness Flicking Metric
(BFM)

MSU Graphics & Media Lab (Video Group)

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

 

Common description

BFM metric is made to measure flicking quantity between neighboring frames of the sequence.

 

Change Log

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

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

Version 1.0
[+] First filter release

 

Visualization

Y-plane is drawing during the visualization.

 

Plots

Per-frame metric's value is showing after measurements. Metric's value is modulus of difference between average brightness values of previous and current frames. Resulting metric's value is average value among all per-frame values.

Plot's example:

 

Algorithm

Average brightness value is calculating for each frame. Metric's value is modulus of difference between average brightness values of previous and current frames.

 

Download

e-mail: 

 

Other resources

Video resources:

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 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
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
Other
Other information

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Last updated: 27-November-2009

Search (Russian):
Server size: 7961 files, 1036Mb (Server statistics)

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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This document available from http://www.compression.ru/video/quality_measure/metric_plugins/bfm_en.htm