Exposing digital forgeries in video by detecting double MPEG compression
MM&Sec '06 Proceedings of the 8th workshop on Multimedia and security
Exposing digital forgeries in video by detecting duplication
Proceedings of the 9th workshop on Multimedia & security
Statistical tools for digital forensics
IH'04 Proceedings of the 6th international conference on Information Hiding
Detecting doctored JPEG images via DCT coefficient analysis
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Exposing Digital Forgeries in Interlaced and Deinterlaced Video
IEEE Transactions on Information Forensics and Security - Part 1
Estimating QP and motion vectors in H.264/AVC video from decoded pixels
Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence
Detecting double JPEG compression with the same quantization matrix
IEEE Transactions on Information Forensics and Security
Novel blind video forgery detection using markov models on motion residue
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part III
Format based photo forgery image detection
Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
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We describe a technique for detecting double quantization in digital video that results from double MPEG compression or from combining two videos of different qualities (e.g., green-screening). We describe how double quantization can introduce statistical artifacts that while not visible, can be quantified, measured, and used to detect tampering. This technique can detect highly localized tampering in regions as small as 16 x 16 pixels.