Exploring Classification Models for Video Source Device Identification: A Study of CNN-SVM and Softmax Classifier
Author:
Affiliation:
1. Qatar University,Department of Computer Science and Engineering,Doha,Qatar
2. Center for Data Analytics and Cybernetics, University of Sharjah,Sharjah,UAE
3. Northumbria University,Department of Computer and Information Sciences,Newcastle,UK
Funder
Qatar National Research Fund
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10323591/10323546/10323835.pdf?arnumber=10323835
Reference29 articles.
1. PRNU-Net: a Deep Learning Approach for Source Camera Model Identification based on Videos Taken with Smartphone
2. PRNU Estimation based on Weighted Averaging for Source Smart-phone Video Identification;lawgaly;2022 8th International Conference on Control Decision and Information Technologies (CoDIT),2022
3. Review of Deep Learning Algorithms and Architectures
4. Recent advances in convolutional neural networks
5. PRNU-Based Video Source Attribution: Which Frames Are You Using?
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