Gpu-Accelerated Sift-Aided Source Identification of Stabilized Videos-Reference-Cited by-同舟云学术

Gpu-Accelerated Sift-Aided Source Identification of Stabilized Videos

Published:2022-10-16 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Image Processing (ICIP)
language:
Short-container-title:

Author:

Montibeller Andrea¹,Pasquini Cecilia¹,Boato Giulia¹,Dell'Anna Stefano¹,Perez-Gonzalez Fernando²

Affiliation:

1. University of Trento,Department of Information Engineering and Computer Science,Italy

2. University of Vigo,atlanTTic,Department of Signal Theory and Communications,Spain

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9897158/9897159/09897579.pdf?arnumber=9897579

Reference27 articles.

1. Prnu Pattern Alignment for Images and Videos Based on Scene Content

2. Extracting camera-based fingerprints for video forensics;cozzolino;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops,2019

3. Determining Image Origin and Integrity Using Sensor Noise

4. Experiencing with electronic image stabilization and PRNU through scene content image registration

5. Hybrid reference-based Video Source Identification

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Shedding Light on some Leaks in PRNU-based Source Attribution;Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security;2024-06-24

2. Double-weighted photo response non-uniformity extraction model based on multi-scale neighborhood shrinkage and structural filtering for YouTube compressed videos;Journal of Electronic Imaging;2024-04-12

3. Toward Open-World Multimedia Forensics Through Media Signature Encoding;IEEE Access;2024

4. Stabilized videos source identification method based on undecimated dual-tree complex wavelet transform and Bayesian adaptive direct search algorithm;Journal of Electronic Imaging;2023-11-02

5. Source Camera Identification with a Robust Device Fingerprint: Evolution from Image-Based to Video-Based Approaches;Sensors;2023-08-24