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DESCRIPTION:Image forensics is a longstanding area of computer vision resea
 rch\, in which one attempts to detect\, localize\, and/or attribute manipu
 lations of still and video imagery. This talk describes the progression of
  the field from the foundations of digital image forensics to modern issue
 s related to deepfakes. Early work focused on manipulations made with inte
 ractive image editing\, using signal processing approaches that estimate a
 nd match sensor fingerprints. Then\, in the late 2010’s\, new forensic c
 hallenges arose from the rise of generative AI-based image synthesis and e
 diting\, along with the increased use of in-camera image enhancement. Thes
 e rapid changes in nature of both real and altered imagery necessitated th
 e development of new algorithms and datasets. This talk will present techn
 ical approaches from these different eras of digital image forensics\, and
  conclude with an enumeration of current challenges in image forensics.\n\
 nCo-sponsored by: Gildart Haase School of Engineering\, Fairleigh Dickinso
 n University\n\nSpeaker(s): \, Scott\n\nVirtual: https://events.vtools.iee
 e.org/m/544174
LOCATION:Virtual: https://events.vtools.ieee.org/m/544174
ORGANIZER:tan@fdu.edu
SEQUENCE:119
SUMMARY: Media Forensics in the Era of Deepfakes by Dr. Scott McCloskey\, D
 irector of Computational Imaging\, Kitware\, Inc.
URL;VALUE=URI:https://events.vtools.ieee.org/m/544174
X-ALT-DESC:Description: <br /><p class="MsoNormal" style="line-height: 107%
 \; margin: 0in 1.2in .0001pt 56.0pt\;">Image forensics is a longstanding a
 rea of computer vision research\, in which one attempts to detect\, locali
 ze\, and/or attribute manipulations of still and video imagery. This talk 
 describes the progression of the field from the foundations of digital ima
 ge forensics to modern issues related to deepfakes. Early work focused on 
 manipulations made with interactive image editing\, using signal processin
 g approaches that estimate and match sensor fingerprints. Then\, in the la
 te 2010&rsquo\;s\, new forensic challenges arose from the rise of generati
 ve AI-based image synthesis and editing\, along with the increased use of 
 in-camera image enhancement. These rapid changes in nature of both real an
 d altered imagery necessitated the development of new algorithms and datas
 ets. This talk will present technical approaches from these different eras
  of digital image forensics\, and conclude with an enumeration of current 
 challenges in image forensics.</p>
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