MTN: Forensic Analysis of MP4 Video Files Using Graph Neural Networks-Reference-Cited by-同舟云学术

MTN: Forensic Analysis of MP4 Video Files Using Graph Neural Networks

Published:2023-06 Issue: Volume: Page:
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Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Xiang Ziyue¹,Singh Yadav Amit Kumar¹,Bestagini Paolo²,Tubaro Stefano²,Delp Edward J.¹

Affiliation:

1. Purdue University,Video and Image Processing Lab (VIPER), School of Electrical and Computer Engineering,West Lafayette,Indiana,USA

2. Politecnico di Milano,Dipartimento di Elettronica, Informazione e Bioingegneria,Milano,Italy

Funder

Air Force Research Laboratory

Publisher

IEEE

Link

Reference34 articles.

1. ISO/IEC 14496–14:2020–Information Technology–Coding of Audiovisual Objects–Part 14: MP4 File Format,2020

2. Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty;hendrycks;Advances in neural information processing systems,2019

4. Semi-supervised Classification with Graph Convolutional Networks;kipf,2016

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