Surrey University Library for Forensic Analysis (SULFA) of video content
Библиотека Университета Суррея для судебного анализа видеоконтента (SULFA)
2012-01-01
SCID: 54.1/sdd9kk6x
Discuss with AI
PRNUSULFAcamera identificationvideo forensicsvideo forgery (copy-paste)
Figures from the paper
Abstract (AI)
In this paper we propose SULFA (Surrey University Library for Forensic Analysis) for the benchmarking of video forensic techniques. This new video library has been designed and built for the purpose of video forensics specifically related to camera identification and integrity verification. As far as we know, no such library or similar currently exists in the community. SULFA contains original as well as forged video files, which will be freely available through the University of Surrey's website. There are approximately 150 videos collected from three camera sources, which are Canon SX220 (codec H.264) [1], Nikon S3000 (codec MJPEG) [2] and Fujifilm S2800HD (codec MJPEG) [3]. Each video is approximately 10 seconds long with resolution of 320×240 and 30 frames per second. All videos have been shot after carefully considering both temporal and spatial video characteristics. In order to present life-like scenarios, various complex and simple scenes have been shot with and without using camera support (tripod). Furthermore 9 original videos from each source in SULFA have been tested with Photo Response Non Uniformity (PRNU) based camera identification methods. Currently, SULFA also includes videos with cloning or copy-paste forgery. Each forged video includes full information of the doctored region.
Key Findings
1
All videos were shot to reflect life-like scenarios with varied temporal and spatial characteristics, including scenes with and without camera support (tripod).
2
Nine original videos from each camera source were tested using PRNU-based camera identification methods, demonstrating applicability for PRNU evaluation.
3
SULFA includes both original and forged videos, with forged videos containing full information about the doctored (cloned or copy-paste) regions.
4
SULFA is a newly designed video library specifically for benchmarking video forensic techniques related to camera identification and integrity verification.
5
The library contains approximately 150 videos (about 10 seconds each, 320×240, 30 fps) from three camera models: Canon SX220 (H.264), Nikon S3000 (MJPEG), and Fujifilm S2800HD (MJPEG).
Research Object
Surrey University Library for Forensic Analysis (SULFA) — a curated video dataset/library containing original and forged videos from three camera models
Research Subject
Benchmarking and evaluation of video forensic techniques focused on camera identification (including PRNU-based methods) and integrity/forgery verification using the SULFA video dataset
Publication Details
Publication Date
2012-01-01
Journal
Publisher
ISSN
Access Type
Author Information
Download PDF
Subscribe to digest