VirtualDub MSU Motion Phase filter
- Algorithm: Dr. Dmritriy Vatolin, Statanislav Soldatov, Konstantin Strelnikov
- Implementation: Konstantin Strelnikov
Filter is intended for representation of moving object phases. It can be
useful for sport teaching films building. Such films allow to accent
attention on most important steps of motion.
It combines ideas of MSU Panorama and MSU ObjectRemover project. Filter
works in two passes. On the first pass moving objects are detected. On
the second pass motion phases of selected object are built. User can
correct object detection maps to obtain best result.
Next follow experimental results of MSU
Motion Phase.
Examples
Picture below demonstrates motion phases of car from Interstate 60 film.

Car motion phases
One more example of MSU Motion Phase on fragment from Matrix film.

Neo motion phases
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See Also
MSU HDR Video Reconstruction Benchmark
The most comprehensive comparison of HDR video reconstruction methods
MSU Video Group / Video data filtering and compession
VirtualDub MSU Logo Remover
The filter is intended to remove logo from films
MSU Stereo To Multiview 3D Video Conversion ( Glasses-free 3D-Displays Video Content creation)
Stereo to multiview video conversion algorithm for glasses-free autostereoscopic 3D displays
MSU Video Super-Resolution Filter
This filter increases resolution of video sequence while saving and improving details and reducing artifacts.
MSU Video Group / Video data filtering and compession
Site structure
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MSU Benchmark Collection
- MSU Super-Resolution for Video Compression Benchmark 2022
- MSU Video Quality Metrics Benchmark 2022
- MSU Video Upscalers Benchmark 2022
- MSU Video Alignment and Retrieval Benchmark
- MSU Mobile Video Codecs Benchmark 2021
- MSU Video Super-Resolution Benchmark
- MSU Shot Boundary Detection Benchmark 2020
- MSU Deinterlacer Benchmark
- The VideoMatting Project
- Video Completion
- Codecs Comparisons & Optimization
- VQMT
- Video Quality Measurement Tool 3D
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MSU Datasets Collection
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Metrics Research
- Video Filters
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Other Projects