Compression project >> Video Area Home

Video filtering and compression
by MSU Video Group
(CS MSU Graphics & Media Lab)

Group Leader: Dr. Dmitriy Vatolin

MSU Video Filters Available 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. Commonly we develop a whole family of some kind of a filter. Generally there are also versions optimized for PC and hardware implementations (ASIC/FPGA/DSP). Please let us know via if you are interested in acquiring a license for such filters or making a custom R&D project on video processing, compression, computer vision.

• Auto Segmentation (info only)
  Interest in advanced interactivity with multimedia data significantly increased last years. This cause an advent of new standards proposing the functionality for manipulation with multimedia data (an example of such a standard is MPEG4). That is why segmentation algorithms find its application in wide range of areas including content-based representation of multimedia data, improvement of coding efficiency in video compression standards, sophisticated query and retrieval of video and other content-based functionalities for multimedia applications.
• Advanced FRC (info only)
  FRC (Frame Rate Conversion) algorithms are used in compression, video format conversion, quality enhancement, stereo vision, etc. The most popular application is format conversion. This is the case when FRC is used in order to convert the frame rate of video stream. It is needed for example in order to playback 50Hz video sequence using TV set with 100Hz frame rate.
• Deinterlacer, or i-scan –> p-scan converter (info only)
  This filter converts interlaced video to progressive. It can be applied to video digitizing, scaling (transcoding), outputing interlaced video to progressive displays (LCD monitors/TV sets, plasma panels, etc). The filter is compared with Smart Deinterlacing included in about 90% of DVD -> DivX converters. Tuning of the filter to achieve industrial-quality conversion was done in a collaboration with Samsung.
• Old Film Restoration (info only)
  The filter is intended to recover video digitized from an old film by removing vertical scratches, noise, tapes defect and other artifacts taking place in old cinema movies.
• Tuner TV Restore filter (info only)
  The filter is intended to recover video captured by a TV Tuner.
• MSU Panorama filter (info only)
  The filter is for contruction of a panorama image of a scene from video which is the only input. Output of the filter is a big picture that contains all scene.
• MSU Video2Photo filter (info only)
  This filter is intended to create still images from videos with higher resolution and better quality than original video. Such an improvement is achieved not only due to intelligent processing of information from one selected frame, but also using neighboring frames.
• MSU SuperResolution filter (info only)
  This filter increases resolution of video sequence improving details and reducing artifacts. It gives significantly better results than typical static upsampling methods because of utilization of useful information from neigboring frames. The algorithm is a way slower than static image upsampling methods, but has significantly lower complexity and better speed than other Super Resolution algorithms known to us.
• MSU SuperPrecision filter (info only)
  The filter is targeted at increasing the colour depth of video (bits per pixel) while preserving details and borders. It is useful for displaying video on high contrast devices like plasma panels. The filter performs reconstruction of image, not just some sort of noise mixing.
• MSU Motion Phase filter (description, examples)
  This filter allows to extract and show different phases of some object's movement simultaneously on each frame. The filter can be useful, for example, for composing of sport teaching films.
• MSU Deshaker filter (description, examples)
  This filter is for stabilization of video, or removing of shaking. The feature of our filter is reconstruction of border areas using information from neighboring frames or just previous frames (for 1-pass mode).

All Materials Menu

Public MSU video filters Here are available VirtualDub and AviSynth filters. Commonly we develop a whole family of some kind of a filter. 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 Cartoon Restore (New!) MSU Noise Estimation (New!) MSU Frame Rate Conversion (New!) MSU Image Restoration (New!) MSU Denoising (Top!) MSU Old Cinema MSU Deblocking (Top!) MSU Smart Brightness and Contrast (Top!) MSU Smart Sharpen (Top!) MSU Noise generation MSU Noise estimation MSU Motion Estimation Information MSU Subtitles removal MSU Logo removal (Top!) MSU Deflicker (Top!) MSU Field Shift Fixer AviSynth plug-in MSU StegoVideo MSU Cartoonizer (Top!) MSU SmartDeblocking (Top!) MSU Color Enhancement MSU Old Color Restoration MSU filters FAQ (Read me!) MSU filters statistics (New!)	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. Automatic Objects Segmentation (New!) Semiautomatic Objects Segmentation New Frame Rate Conversion (New!) New Deinterlacer (New!) MSU-Samsung Deinterlacing Project Digital TV Signal Enhancement Old Film Recovery Tuner TV Restore Panorama Video2Photo SuperResolution SuperPrecision MSU-Samsung image and video resampling MSU-Samsung Frame Rate Conversion Motion Phase filter Deshaker (video stabilization) Film Grain/Degrain filter (New!) Deblurring filter Video Content Marking
Codecs comparisons Objective and subjective quality evaluation tests for video and image codecs 4-th MPEG4-AVC/H.264 Comparison (New!) Lossless Video Codecs Comparison 2007 (New!) 3-rd MPEG4-AVC/H.264 Comparison HD Photo and JPEG 2000 Comparison MPEG-2 Decoders Crash Test (Top!) Subjective Compar. of 4 Modern Codecs (Top!) 2-nd MPEG-4 AVC/H.264 Comparison (Top!) FAQ of 2-nd H.264 Comparison 1-st MPEG-4 AVC/H.264 Codecs Comparison FAQ of 1-st H.264 Comparison JPEG 2000 Image Codecs Comparison (Top!) Lossless Video Codecs Comparison 2004 MPEG-4 SP/ASP Codecs Comparison (Top!) Video codecs comparison (old) Ads link: x264 parameters efficiency comparison	Video quality metrics Programs with different objective and subjective video quality metrics implementation MSU Video Quality Metric - objective metrics for codecs and filters comparison (Top!) Implemented metrics short info: PSNR, Delta, MSAD, MSE, SSIM, VQM, MSU Blurring, MSU Blocking MSU Brightness Flicking Metric MSU Brightness Independent PSNR MSU Drop Frame Metric MSU Noise Estimation Metric MSU VQM Metric Tool FAQ MSU Human Perceptual Quality Metric - several metrics for exact visual tests (Top!) Implemented metrics short info: ITU-R BT.500-11: DSIS, DSCQS I & II, SCACJ; EBU: SAMVIQ; MSUCQE MSU PVQ Metric Tool FAQ
Video codecs projects Different research and development projects on video codecs MSU Lossless Video Codec (Top!) MSU Screen Capture Lossless Codec (Top!) MSU MPEG-2 Video Codec x264 Codec Improvement	Other Other information Crazy gallery (filters screams :) License for commercial usage of MSU VideoGroup Public Software (please be careful: some soft like metrics has another license!)

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Last updated: 12-October-2007

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Server Team and MSU Video Group

Project sponsored by YUVsoft Corp.

Project supported by MSU Graphics & Media Lab