Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Matthew C. Stamm"'
Publikováno v:
IEEE Access, Vol 11, Pp 50851-50866 (2023)
With the rapid development of deep learning techniques, the generation and counterfeiting of multimedia material has become increasingly simple. Current technology enables the creation of videos where both the visual and audio contents are falsified.
Externí odkaz:
https://doaj.org/article/c2020c402d934e3390f647ffb9456fb3
Publikováno v:
IEEE Access, Vol 7, Pp 76937-76948 (2019)
Modern technologies have made the capture and sharing of digital video commonplace; the combination of modern smartphones, cloud storage, and social media platforms have enabled video to become a primary source of information for many people and inst
Externí odkaz:
https://doaj.org/article/8542eab6992242028a1bea0f171f9ab3
Publikováno v:
IEEE Access, Vol 1, Pp 167-200 (2013)
In recent decades, we have witnessed the evolution of information technologies from the development of VLSI technologies, to communication and networking infrastructure, to the standardization of multimedia compression and coding schemes, to effectiv
Externí odkaz:
https://doaj.org/article/523ca8107576468c9ce3431f34570933
With the rapid development of deep learning techniques, the generation and counterfeiting of multimedia material are becoming increasingly straightforward to perform. At the same time, sharing fake content on the web has become so simple that malicio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f3dde3e33c7dea91aea0ee154165ad8
http://arxiv.org/abs/2209.08000
http://arxiv.org/abs/2209.08000
Publikováno v:
Electronic Imaging. 35:380-1
Autor:
Matthew C. Stamm, Chen Chen
Publikováno v:
Multimedia Tools and Applications. 80:11365-11393
In this paper, we propose a new framework for performing accurate and robust camera model identification by fully exploiting demosaicing information in a camera’s output images. Instead of fitting a camera’s demosaicing process into parametric mo
Publikováno v:
IEEE Access, Vol 7, Pp 76937-76948 (2019)
Modern technologies have made the capture and sharing of digital video commonplace; the combination of modern smartphones, cloud storage, and social media platforms have enabled video to become a primary source of information for many people and inst
Autor:
Brian C. Hosler, Matthew C. Stamm
Publikováno v:
CVPR Workshops
Manipulated videos are frequently an important part of misinformation campaigns. While much attention has recently focused on sophisticated threats such as deepfakes, the majority of videos used in misinformation campaigns have been created using rel
Publikováno v:
ICASSP
We introduce a new open set video forensics problem called video camera model verification. The video camera model verification task is to determine if two query videos were captured by the same camera model. Importantly, verification must be reliabl
Autor:
Xinwei Zhao, Matthew C. Stamm
Publikováno v:
Computer Vision – ECCV 2020 Workshops ISBN: 9783030664145
ECCV Workshops (1)
ECCV Workshops (1)
Recently, physical domain adversarial attacks have drawn significant attention from the machine learning community. One important attack proposed by Eykholt et al. can fool a classifier by placing black and white stickers on an object such as a road
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4084cdb69cca8c83cf6088df38b560b5
https://doi.org/10.1007/978-3-030-66415-2_13
https://doi.org/10.1007/978-3-030-66415-2_13