Abstract: With the advent of high-quality digital video cameras and sophisticated video editing software, it is becoming increasingly easier to tamper with digital video. A growing number of video surveillance cameras are also giving rise to an enormous amount of video data. The ability to ensure the integrity and authenticity of this data poses considerable challenges. We describe two techniques for detecting traces of tampering in de-interlaced and interlaced video. For de-interlaced video, we quantify the correlations introduced by the camera or software de-interlacing algorithms and show how tampering can disturb these correlations. For interlaced video, we show that the motion between fields of a single frame and across fields of neighboring frames should be equal. We propose an efficient way to measure these motions and show how tampering can disturb this relationship.

  url          = {http://www.cs.dartmouth.edu/farid/publications/tifs07.pdf},
  journal      = {IEEE Transactions on Information Forensics and Security},
  author       = {Weihong Wang and Hany Farid},
  number       = {2},
  volume       = {3},
  year         = {2007},
  title        = {Exposing digital forgeries in interlaced and de-interlaced video},
  pages        = {438-449},