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.
Dettaglio pubblicazione
2023, DAGSTUHL REPORTS, Pages -
Media Forensics and the Challenge of Big Data (Dagstuhl Seminar 23021) (01a Articolo in rivista)
Amerini Irene, Rocha Anderson, Rosin Paul L., Sun Xianfang
Gruppo di ricerca: Computer Vision, Computer Graphics, Deep Learning
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