New Generation of Image Processing History and Manipulation Detection Techniques with Vectorized Context- Aware Descriptors Refocused to Media Source Identification and Verification, and Steganalysis of JPEG Images

Abstract

This report describes the Binghamton University MediFor team's research results on the DARPA Media Forensics (MediFor) program. The results are divided into four focus areas aligned with the main thrust of the MediFor program: 1) detection of manipulated images and localization of the manipulated content, 2) detection of processing history of images, 3) media source identification and verification based on sensor fingerprint (PRNU), and 4) detection of a specific manipulation introduced due to data hiding (steganography) in JPEG images.

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Document Details

Document Type
Technical Report
Publication Date
Feb 25, 2021
Accession Number
AD1123564

Entities

People

  • Jessica Fridrich
  • Matthias Kirchner
  • Miroslav Goljan

Organizations

  • Binghamton University

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Artificial Intelligence Software
  • Computer Science
  • Computer Vision
  • Computers
  • Convolutional Neural Networks
  • Detection
  • Detectors
  • Digital Images
  • Dynamic Range
  • False Alarms
  • Image Processing
  • Information Science
  • Machine Learning
  • Network Science
  • Neural Networks
  • New York
  • Signal Processing
  • Standards
  • United States

Fields of Study

  • Engineering

Readers

  • Computer Vision.
  • Cybersecurity.
  • Image Processing and Computer Vision.