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README.md
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---
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pretty_name: 'pretty_name: COMSATS Structured Video Tampering Evaluation Dataset (CSVTED)'
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---
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# Dataset Card for COMSATS Structured Video Tampering Evaluation Dataset (CSVTED)
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<!-- Provide a quick summary of the dataset. -->
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The COMSATS Structured Video Tampering Evaluation Dataset (CSVTED) provides a three-level dataset structured by tampering quality and video complexity, designed to support research in video forensic analysis.
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## Dataset Details
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The dataset consists of 1047 videos: 133 original + 914 tampered in various formats (avi, mp4, mov).
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These were captured using multiple cameras and lighting conditions (morning, noon, evening, night, fog).
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We includex various tampering types, both spatial and temporal:
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- Frame duplication
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- Deletion
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- Insertion
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- Copy-move
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- Splicing
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- Event-Object-Person (EOP) based tampering
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We used SSIM and Optical Flow to select optimal positions for duplication, insertion, or deletion. This helps maintain visual consistency and avoids abrupt changes, especially by matching object motion direction.
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## Dataset Structure
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The dataset consists of zipped video files in either avi, mp4 or mov formats.
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- EOP-Frame-Deletion.zip (20-videos)
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- EOP-Frame-Duplication.zip (20-videos)
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- EOP-Frame-Insertion.zip (20-videos)
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- Frame-Deletion.zip (260-videos)
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- Frame-Duplication.zip (291-videos)
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- Frame-Insertion.zip (293-videos)
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- Original.zip (133-videos)
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- Spatial-Tampering.zip (10-videos)
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## Citation [optional]
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**BibTeX:**
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@article{CSVTED,
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title={{COMSATS} Structured Video Tampering Evaluation Dataset {(CSVTED)}},
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author={N. Akhtar and M. Saddique and P.L. Rosin and X. Sun and M. Hussain and Z. Habib},
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journal = {Machine Vision and Applications},
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pages = {xxx-xxx},
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year = {2022}
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}
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## Dataset Card Contact
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Paul Rosin\
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Cardiff University\
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[rosinpl@cardiff.ac.uk](mailto:rosinpl@cardiff.ac.uk)
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