Digital video coding standards
Digital consumer electronics handbook
Exposing digital forgeries by detecting inconsistencies in lighting
MM&Sec '05 Proceedings of the 7th workshop on Multimedia and security
Statistical tools for digital forensics
IH'04 Proceedings of the 6th international conference on Information Hiding
Exposing digital forgeries by detecting traces of resampling
IEEE Transactions on Signal Processing
Exposing digital forgeries in color filter array interpolated images
IEEE Transactions on Signal Processing - Part II
Exposing digital forgeries in video by detecting duplication
Proceedings of the 9th workshop on Multimedia & security
Information Hiding
Exposing digital forgeries in video by detecting double quantization
Proceedings of the 11th ACM workshop on Multimedia and security
Proceedings of the 11th ACM workshop on Multimedia and security
Design and deployment of a digital forensics service platform for online videos
MiFor '09 Proceedings of the First ACM workshop on Multimedia in forensics
Exposing digital video forgery by ghost shadow artifact
MiFor '09 Proceedings of the First ACM workshop on Multimedia in forensics
Authentication schemes for multimedia streams: Quantitative analysis and comparison
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
FLD-based detection of re-compressed speech signals
Proceedings of the 12th ACM workshop on Multimedia and security
Screenshot identification using combing artifact from interlaced video
Proceedings of the 12th ACM workshop on Multimedia and security
Detecting double JPEG compression with the same quantization matrix
IEEE Transactions on Information Forensics and Security
Digital Image Forgery Detection Based on Lens and Sensor Aberration
International Journal of Computer Vision
A universal technique to hide traces of histogram-based image manipulations
Proceedings of the on Multimedia and security
Detecting removed object from video with stationary background
IWDW'12 Proceedings of the 11th international conference on Digital Forensics and Watermaking
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With the advent of sophisticated and low-cost video editing software, it is becoming increasingly easier to tamper with digital video. In addition,an ever-growing number of video surveillance cameras is giving rise to an enormous amount of video data. The ability to ensure the integrity and authenticity of this data poses considerable challenges. Here we begin to explore techniques for detecting traces of tampering in digital video. Specifically, we show how a doublycompressed MPEG video sequence introduces specific static and temporal statistical perturbations whose presence can be used as evidence of tampering.