A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Filters
Resampling Forgery Detection Using Deep Learning and A-Contrario Analysis
[article]
2018
arXiv
pre-print
Preserved Fulltext
In this paper we discuss a method to automatically detect local resampling using deep learning while controlling the false alarm rate using a-contrario analysis. ...
First, resampling features are calculated for image blocks. A deep learning classifier is then used to generate a heatmap that indicates if the image block has been resampled. ...
The views, opinions and/or findings expressed are those of the author and should not be interpreted as representing the official views or policies of the Department of Defense or the U.S. Government. ...
arXiv:1803.01711v1
fatcat:yjs64koy3jdkzagvzmdxu5ap3u
Resampling Forgery Detection Using Deep Learning and A-Contrario Analysis
2018
IS&T International Symposium on Electronic Imaging Science and Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this paper we discuss a method to automatically detect local resampling using deep learning while controlling the false alarm rate using a-contrario analysis. ...
First, resampling features are calculated for image blocks. A deep learning classifier is then used to generate a heatmap that indicates if the image block has been resampled. ...
The views, opinions and/or findings expressed are those of the author and should not be interpreted as representing the official views or policies of the Department of Defense or the U.S. Government. ...
doi:10.2352/issn.2470-1173.2018.07.mwsf-212
fatcat:snacz3wjkrgxdefx3tvlojuohu
Seeing Things in Random-Dot Videos
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
and video data, leads us to see in it a simple computational Gestalt model of human perception with only two parameters: the time integration and the visual angle for candidate shapes to be detected. ...
The algorithm is based on the succession of temporal integration and spatial statistical tests of unlikeliness, the a contrario framework. ...
, Blu15] , vanishing point detection [ADV03] , histogram modes [DMM03a] , clustering [DMM03a] , face detection [LRP17] or even forgery detection by performing a contrario on the heatmaps provided ...
arXiv:1907.12195v2
fatcat:i634k7bmcnaq3ozit2qtdrmbyq