AMULET: A MUlti-cLuE Approach to Image Forensics

Abstract

The goal of AMULET (A MUlti-cLuE approach To image forensics) was the development of multi-clue forensics techniques that, starting from the indications provided by a pool of forensic tools focusing on specific artifacts, reach a global conclusion about the authenticity of an image. The techniques had to operate in highly nonstructured scenarios characterized by imprecise and incomplete information. The main output of the research activity has been the development of a non-conventional multi-clue inference framework based on Dempster- Shafer (DST) Theory of evidence.

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Document Details

Document Type
Technical Report
Publication Date
Dec 31, 2014
Accession Number
ADA627072

Entities

People

  • Benedetta Tondi
  • Marco Fontani
  • Mauro Barni

Organizations

  • University of Siena

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Computational Science
  • Detection
  • Detectors
  • Digital Images
  • Game Theory
  • Images
  • Information Science
  • Information Theory
  • Machine Learning
  • Network Science
  • Order Statistics
  • Probability
  • Reliability
  • Sensor Networks
  • Signal Processing
  • Statistical Analysis
  • Supervised Machine Learning

Readers

  • Artificial Intelligence
  • Distributed Systems and Data Platform Development
  • Systems Analysis and Design

Technology Areas

  • AI & ML