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Algorithm, ideas: Dr. Dmitriy Vatolin
Algorithm, implementaion: Sergey Grishin

See also:

• New FRC project: Advanced FRC Project
• Public FRC filter: MSU Frame Rate Conversion

Algorithm allows to double frame rate (fps) of the video stream. This conversion is performed by calculating and inserting the new frames in the stream (see picture).

Double up-conversion of the frame rate

The main advantages of the method are:

• high accuracy of motion tracking and compensation
• constant temporal sharpness level of the frames in converted video stream

Examples

Here we present a results of comparison of described (MSU), Frame Repetition (FR) and Linear Interpolation (LI) methods on "akiyo" sequence. Results include PSNR metric visualization of interpolated frames in comparison to original ones on the right side. Following is the color semantics on these images: red color - high difference region, this difference is visually noticeable; yellow - little less than previous difference; green and blue - almost unnoticeable difference; black - no difference.

Performance of MSU, LI and FR methods at "akiyo" sequence

On the pictures bellow there are the frames from sequences with four times increased frame rate. Such the up-conversion is achieved by repeated using of FRC method in accordance to picture:

Four times frame rate up-conversion

Performance of MSU and LI at "waterfall" sequence

Performance quality of MSU, LI and FR at "BBC", "buc", "foreman" sequences

Below there is a comparison of MSU and UCSD (University of California, San Diego) FRC methods. Sequences with four times increased frame rate were used for this comparison:

Comparison of MSU and UCSD methods by the example of sequence "dogs"

Frames of MSU and UCSD methods for sequence "dogs"

Two sequences where the quality difference of MSU and UCSD methods can be clearly seen are available for download. In these sequences each frame contains the same part of frame from sequence processed by FR, MSU and LI. This method of sequence generation makes comparison of FRC methods easy and comfortable:

Frame from "crowd" sequence for comparing FR, MSU and LI methods

Download

Filter unavailable due to contract limitation.You can license Advanced FRC Project result.

• Sequence "dogs" for comparing FR, MSU and UCSD (704x464, Divx 4.12, 2.1 Mb)
• Sequence "crowd" for comparing FR, MSU and UCSD (704x464, Divx 4.12, 2.6 Mb)

Another resources

Video resources:

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: 07-December-2007

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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