We present new forensic tools that are capable of detecting traces of tampering in digital
video without the use of watermarks or specialized hardware. These tools operate under
the assumption that video contain naturally occurring properties which are disturbed by
tampering, and which can be quanti ed, measured, and used to expose video fakes. In
this context, we o er ve new forensic tools (1) Interlaced, (2) De-interlaced, (3) Double
Compression, (4) Duplication, and (5) Re-projection, where each technique targets a speci c
statistical or geometric artifact. Combined, these tools provide a valuable rst set of forensic
tools for authenticating digital video.
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