Physical and Semantic Integrity Measures for Media Forensics

Abstract

This is a final report on research and development program carried out in accordance with its proposal entitled "Physical and Semantic Integrity Measures for Media Forensics". The research spans multiple media types, images, video and metadata, and of which may have been manipulated from original form. Methods of manipulation include parts or whole images and video, specific objects such as faces or general scenes of all varieties.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 19, 2021
Accession Number
AD1150630

Entities

People

  • Abhinav Shivastava
  • Larry Davis
  • Yaser Yacoob

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Computational Science
  • Computer Vision
  • Computers
  • Convolutional Neural Networks
  • Deepfakes
  • Detection
  • Detectors
  • Frequency Bands
  • Information Processing
  • Information Science
  • Information Systems
  • Machine Learning
  • Network Architecture
  • Neural Networks
  • Pattern Recognition
  • Reliability
  • Supervised Machine Learning

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Research Science/Academic Research
  • Systems Analysis and Design