DROPS

Document

Media Forensics and the Challenge of Big Data (Dagstuhl Seminar 23021)

Authors: Irene Amerini, Anderson Rocha, Paul L. Rosin, and Xianfang Sun

Published in: Dagstuhl Reports, Volume 13, Issue 1 (2023)

Abstract

With demanding and sophisticated crimes and terrorist threats becoming more pervasive, allied with the advent and widespread of fake news, it becomes paramount to design and develop objective and scientific-based criteria to identify the characteristics of investigated materials associated with potential criminal activities. We need effective approaches to help us answer the four most important questions in forensics regarding an event: "who," "in what circumstances," "why," and "how." In recent years, the rise of social media has resulted in a flood of media content. As well as providing a challenge due to the increase in data that needs fact-checking, it also allows leveraging big-data techniques for forensic analysis. The seminar included sessions on traditional, deep learning-based methods, big data, benchmark and performance evaluation, applications, and future directions. It aimed to orchestrate the research community’s efforts in such a way that we harness different tools to fight misinformation and the spread of fake content.

Cite as

Irene Amerini, Anderson Rocha, Paul L. Rosin, and Xianfang Sun. Media Forensics and the Challenge of Big Data (Dagstuhl Seminar 23021). In Dagstuhl Reports, Volume 13, Issue 1, pp. 1-35, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

Copy BibTex To Clipboard

@Article{amerini_et_al:DagRep.13.1.1,
  author =	{Amerini, Irene and Rocha, Anderson and Rosin, Paul L. and Sun, Xianfang},
  title =	{{Media Forensics and the Challenge of Big Data (Dagstuhl Seminar 23021)}},
  pages =	{1--35},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2023},
  volume =	{13},
  number =	{1},
  editor =	{Amerini, Irene and Rocha, Anderson and Rosin, Paul L. and Sun, Xianfang},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.13.1.1},
  URN =		{urn:nbn:de:0030-drops-191177},
  doi =		{10.4230/DagRep.13.1.1},
  annote =	{Keywords: Digital forensics, Image and video authentication, Image and video forensics, Image and video forgery detection, Tampering detection}
}

Search Results

Documents authored by Sun, Xianfang

Media Forensics and the Challenge of Big Data (Dagstuhl Seminar 23021)

Abstract

Cite as

Thanks for your feedback!

Could not send message