MSU StegoVideo
- Project, ideas: Dr. Dmitriy Vatolin
- Implementation: Oleg Petrov
Here you can see description of MSU StegoVideo tool settings if you want
to use it as standalone program.
Go to main tool page for a general info about this tool
or go to filter settings
page
if you want to use this tool as VirtualDub filter.
Installation
Unpack msu_stegovideo_exe.zip in any folder and run “MSU_stego_video.exe”.
Hiding information
1. Choose mode
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When you start program, you should choose what you want to do: to extract file from video or to hide file in video. Check “Hide file in video” and click “Next”.
2. Choose files
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On this step you should choose file that you want to hide (small *.txt files recommended), video file in which info will be hidden and file for resulting video. Video files must have “.avi” extension.
3. Choose compression mode
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Check box on this step if you want to compress video with info (you will be adviced to choose codec later). Warning: some info can be lost after compression! Don’t use very low bitrates; bitrates from 800 kbps are recommended.
4. Choose hiding parameters
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Noise level - Power of video distortions. Decrease it if distortion is too high (100 recommended).
Data redundancy - Increasing data redundancy decreases amount of data that will be hidden into each frame and probability of error.
You can generate optimal parameters automatically, in this case you’ll have to fill in planned compression bitrate.
5. Save passcode
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6. Hiding info
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Extracting information
1. Choose mode
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Start the program. To extract file from video check “Extract file from video” and click “Next”.
2. Choose files
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On this step you should choose file from which you want to extract information and file in which you want to save it. Video file must have “.avi” extension.
3. Enter passcode.
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4. Extracting info.
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Download
- MSU StegoVideo as independent .exe(ZIP, 129 KB).
- MSU StegoVideo as VirtualDub filter(ZIP, 57 KB).
- Main tool page
- Filter settings page
- Program license
E-mail: video@graphics.cs.msu.ru
-
MSU Benchmark Collection
- Learning-Based Image Compression Benchmark
- Super-Resolution for Video Compression Benchmark
- Video Colorization Benchmark
- Defenses for Image Quality Metrics Benchmark
- Super-Resolution Quality Metrics Benchmark
- Deinterlacer Benchmark
- Video Saliency Prediction Benchmark
- Metrics Robustness Benchmark
- Video Upscalers Benchmark
- Video Deblurring Benchmark
- Video Frame Interpolation Benchmark
- HDR Video Reconstruction Benchmark
- No-Reference Video Quality Metrics Benchmark
- Full-Reference Video Quality Metrics Benchmark
- Video Alignment and Retrieval Benchmark
- Mobile Video Codecs Benchmark
- Video Super-Resolution Benchmark
- Shot Boundary Detection Benchmark
- The VideoMatting Project
- Video Completion
- Codecs Comparisons & Optimization
- VQMT
- MSU Datasets Collection
- Metrics Research
- Video Quality Measurement Tool 3D
- Video Filters
- Other Projects