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Compression project >> Video Area Home

Video Codec Scoring System
ViCoS

Information support by MSU Graphics & Media Lab (Video Group)


Introduction


This system is developped and supported by YUVsoft Corp.
Detailed information is available at ViCoS page

Main purpose of the system is to automatically evaluate quality of modern video codec and video filters using objective quality metrics and sequences modification. Both overall quality of the codec and quality of separate codec parts can be analyzed using the system. Same framework can be used for codec external options analysis and best presets automatically selection for given test set.


Use Cases


Main use cases of the ViCoS system are the following:

Video Codec Comparison and Evaluation

Video codec comparison and evaluation is important task both for video codec developers and major users. Video codecs are complex entities and require complex methods of evaluation. Number of important tasks should be solved for correct video comparison, such as: sequences and bitrate selection, correct visual quality estimation and comparison, storing and reusing produced data and many others. Our system is designed to automate process of codecs comparison. Following actions should be done for that:

Video Codec Analysis

Video codec analysis is next step after codec comparison. It is used for better understanding of codec strong and weak places, get additional information of different codec's part such as Motion Estimation algorithm, Rate Control algorithms and so on.

We use natural sequences modifications and synthetic sequences with known characteristics to analyze codecs in different ways. There are several levels of analysis results understanding:

Presets Selection and Analysis

Presets analysis is used for tuning of video codec as finished product. We used description of codec's parameters to dynamically create codec's presets and launch codecs to get presets characteristics, such as encoding visual quality and encoding speed. Following tasks can be solved using this part of the system:

System Customization


Flexible customization is available for ViCoS system purchasing. There are five different editions, which can be optimal in different use cases. See ViCoS at YUVsoft Corp. for more information about editions.

Additional features can be implemented for customers by special request.


Contacts


E-mail: 


Others Video Codec Comparisons Resources


Call for codecs 2012
See all MSU Video Codec Comparisons

MSU video codecs comparisons resources:


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
Other
Other information

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Last updated: 10-March-2011

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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

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