Licence & Usage
SULFA is a freely available forensic library, anyone wishes to use the content of this library should kindly accept the terms of usage which are:
- The sole purpose of this library is to be used only for Academic purposes and requires permission if the contents are to be used for any other purposes.
- Reference to our paper: "Qadir, G., Yahahya, S & Ho, A T S., Surrey University Library for Forensic Analysis (SULFA). In Proceedings of the IET IPR 2012, 3-4 July, London, 2012." is included in any published work using the provided data either as a whole or in parts.
- Contributing to SULFA: The library is open for external contributions. We will gladly include any contribution of videos that match our criteria. In order for a video to be included we request a signed release form as well as other information such as the source capturing device, frame rate, codec, and length (approx. 10s) . To contribute forged videos, we also request a full description of the forgery, including the software and tools used. It should also include 'difference frames' of the original and corresponding forged videos. All material can be sent to: sulfa@surrey.ac.uk.
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Abstract
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), Nikon
S3000 (codec MJPEG) and Fujifilm S2800HD (codec MJPEG). Each video is approximately 10 seconds long with resolution
of 320x240 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.
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