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Resampling Forgery Detection Using Deep Learning and A-Contrario Analysis [article]

Arjuna Flenner, Lawrence Peterson, Jason Bunk, Tajuddin Manhar Mohammed, Lakshmanan Nataraj, B.S. Manjunath
2018 arXiv   pre-print
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

A. Flenner, L. Peterson, J. Bunk, T.M. Mohammed, L. Nataraj, B.S. Manjunath
2018 IS&T International Symposium on Electronic Imaging Science and Technology  
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]

Thomas Dagès, Michael Lindenbaum, Alfred M. Bruckstein
2020 arXiv   pre-print
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