DocumentCode :
3184076
Title :
Surrey University Library for Forensic Analysis (SULFA) of video content
Author :
Qadir, G. ; Yahaya, S. ; Ho, Anthony T. S.
Author_Institution :
Univ. of Surrey, Guildford, UK
fYear :
2012
fDate :
3-4 July 2012
Firstpage :
1
Lastpage :
6
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) [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.
Keywords :
academic libraries; computer forensics; digital libraries; image resolution; spatiotemporal phenomena; video cameras; video coding; Canon SX220; Fujifilm S2800HD; Nikon S3000; PRNU based camera identification methods; SULFA; Surrey University Library for Forensic Analysis; copy-paste forgery; forged video files; integrity verification; photo response nonuniformity; spatial video characteristics; temporal video characteristics; video cloning; video content; video forensic technique benchmarking; video library; video resolution;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Image Processing (IPR 2012), IET Conference on
Conference_Location :
London
Electronic_ISBN :
978-1-84919-632-1
Type :
conf
DOI :
10.1049/cp.2012.0422
Filename :
6290617
Link To Document :
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