Detection of frame deletion for digital video forensics

@article{Shanableh2013DetectionOF,
  title={Detection of frame deletion for digital video forensics},
  author={Tamer Shanableh},
  journal={Digital Investigation},
  year={2013},
  volume={10},
  pages={350-360}
}
The abundance of digital video forms a potential piece of evidence in courtrooms. Augmenting subjective assessment of digital video evidence by an automated objective assessment helps increase the accuracy of deciding whether or not to admit the digital video as legal evidence. This paper examines the authenticity of digital video evidence and in particular it proposes a machine learning approach to detecting frame deletion. A number of discriminative features are extracted from the video bit… CONTINUE READING

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