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Exposing digital forgeries in video by detecting duplication
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Source
International Multimedia Conference archive
Proceedings of the 9th workshop on Multimedia & security table of contents
Dallas, Texas, USA
SESSION: Authentication and forensics table of contents
Pages: 35 - 42  
Year of Publication: 2007
ISBN:978-1-59593-857-2
Authors
Weihong Wang  Dartmouth College, Hanover, NH
Hany Farid  Dartmouth College, Hanover, NH
Sponsors
ACM: Association for Computing Machinery
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
Publisher
ACM  New York, NY, USA
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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 common form of manipulation is to clone or duplicate frames or parts of a frame to remove people or objects from a video. We describe a computationally efficient technique for detecting this form of tampering.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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J. Fridrich, D. Soukal, and J. Lukáš. Detection of copy-move forgery in digital images. In Proceedings of Digital Forensic Research Workshop, August 2003.
 
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C. Kuglin and D. Hines. The phase correlation image alignment method. In IEEE International Conference On Cybernetics and Society, pages 163--165, New York, September 1975.
 
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A. Popescu and H. Farid. Exposing digital forgeries by detecting duplicated image regions. Technical Report TR2004-515, Department of Computer Science, Dartmouth College, 2004.
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W. Wang and H. Farid. Exposing digital forgeries in interlaced and de-interlaced video. IEEE Transactions on Information Forensics and Security, 2007 (in press).


Collaborative Colleagues:
Weihong Wang: colleagues
Hany Farid: colleagues