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Description
  • In this paper, we show that methods detecting multiple change points in a discrete distribution of variables can play an effective role in identifying image tampering. Methods analyzing change points deal with detecting abrupt changes in the characteristics of signals. Methods dealing with detecting image tampering isolate a subset of the given image that is significantly different from the rest. Apparently, both groups of methods have similar goals and thus there might be an interesting synergy between these two research fields. Change points detection algorithms can help in automatically detecting altered parts of digital images without any previous training or complicated threshold settings.
  • In this paper, we show that methods detecting multiple change points in a discrete distribution of variables can play an effective role in identifying image tampering. Methods analyzing change points deal with detecting abrupt changes in the characteristics of signals. Methods dealing with detecting image tampering isolate a subset of the given image that is significantly different from the rest. Apparently, both groups of methods have similar goals and thus there might be an interesting synergy between these two research fields. Change points detection algorithms can help in automatically detecting altered parts of digital images without any previous training or complicated threshold settings. (en)
Title
  • Identifying image forgeries using change points detection
  • Identifying image forgeries using change points detection (en)
skos:prefLabel
  • Identifying image forgeries using change points detection
  • Identifying image forgeries using change points detection (en)
skos:notation
  • RIV/67985556:_____/11:00424939!RIV14-MV0-67985556
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/08/0470), P(VG20102013064), Z(AV0Z10750506)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 203438
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/11:00424939
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • image forgery (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [5D6E5AEE72CB]
http://linked.open...v/mistoKonaniAkce
  • San Francisco
http://linked.open...i/riv/mistoVydani
  • Washington
http://linked.open...i/riv/nazevZdroje
  • Media Watermarking, Security, and Forensics III
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Mahdian, Babak
  • Saic, Stanislav
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000297559800007
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
issn
  • 0277-786X
number of pages
http://bibframe.org/vocab/doi
  • 10.1117/12.872510
http://purl.org/ne...btex#hasPublisher
  • SPIE
https://schema.org/isbn
  • 978-0-8194-8417-8
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