pretty_name: 'pretty_name: COMSATS Structured Video Tampering Evaluation Dataset (CSVTED)'
Dataset Card for COMSATS Structured Video Tampering Evaluation Dataset (CSVTED)
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.
Dataset Details
The dataset consists of 1047 videos: 133 original + 914 tampered in various formats (avi, mp4, mov). These were captured using multiple cameras and lighting conditions (morning, noon, evening, night, fog). We includex various tampering types, both spatial and temporal:
- Frame duplication
- Deletion
- Insertion
- Copy-move
- Splicing
- Event-Object-Person (EOP) based tampering
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.
Dataset Structure
The dataset consists of zipped video files in either avi, mp4 or mov formats.
- EOP-Frame-Deletion.zip (20-videos)
- EOP-Frame-Duplication.zip (20-videos)
- EOP-Frame-Insertion.zip (20-videos)
- Frame-Deletion.zip (260-videos)
- Frame-Duplication.zip (291-videos)
- Frame-Insertion.zip (293-videos)
- Original.zip (133-videos)
- Spatial-Tampering.zip (10-videos)
Citation [optional]
BibTeX:
@article{CSVTED,
title={{COMSATS} Structured Video Tampering Evaluation Dataset {(CSVTED)}},
author={N. Akhtar and M. Saddique and P.L. Rosin and X. Sun and M. Hussain and Z. Habib},
journal = {Machine Vision and Applications},
pages = {xxx-xxx},
year = {2025}
}
Dataset Card Contact
Paul Rosin
Cardiff University
[email protected]