A Convolutional Neural Network Ensemble for Video Source Camera Forensics
Author:
Affiliation:
1. Florida International University, Miami, FL, USA
2. Kennesaw State University, Marietta, GA, USA
Funder
U.S. Army Research Office
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/93/10595543/10459257.pdf?arnumber=10459257
Reference20 articles.
1. A fast source camera identification and verification method based on PRNU analysis for use in video forensic investigations
2. Sensor Pattern Noise Estimation using Non-textured Video Frames For Efficient Source Smartphone Identification and Verification
3. Video Source Characterization Using Encoding and Encapsulation Characteristics
4. A Video Camera Model Identification System Using Deep Learning and Fusion
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