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Spotting the Difference: Context Retrieval and Analysis for Improved Forgery Detection and Localization

Abstract: 

As image tampering becomes ever more sophisticated and commonplace, the need for image forensics algorithms that can accurately and quickly detect forgeries grows. In this paper, we revisit the ideas of image querying and retrieval to provide clues to better localize forgeries. We propose a method to perform large-scale image forensics on the order of one million images using the help of an image search algorithm and database to gather contextual clues as to where tampering may have taken place. In this vein, we introduce five new strongly invariant image comparison methods and test their effectiveness under heavy noise, rotation, and color space changes. Lastly, we show the effectiveness of these methods compared to passive image forensics using Nimble, a new, state-of-the-art dataset from the National Institute of Standards and Technology (NIST).

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Paper Details

Authors:
Joel Brogan, Paolo Bestagini, Aparna Bharati, Allan Pinto, Daniel Moreira, Kevin Bowyer, Patrick Flynn, Anderson Rocha, Walter Scheirer
Submitted On:
14 September 2017 - 10:48pm
Short Link:
Type:
Poster
Event:
Presenter's Name:
Joel Brogan
Paper Code:
2523
Document Year:
2017
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Document Files

ICIP2017_poster.pdf

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[1] Joel Brogan, Paolo Bestagini, Aparna Bharati, Allan Pinto, Daniel Moreira, Kevin Bowyer, Patrick Flynn, Anderson Rocha, Walter Scheirer, "Spotting the Difference: Context Retrieval and Analysis for Improved Forgery Detection and Localization", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2074. Accessed: Apr. 25, 2019.
@article{2074-17,
url = {http://sigport.org/2074},
author = {Joel Brogan; Paolo Bestagini; Aparna Bharati; Allan Pinto; Daniel Moreira; Kevin Bowyer; Patrick Flynn; Anderson Rocha; Walter Scheirer },
publisher = {IEEE SigPort},
title = {Spotting the Difference: Context Retrieval and Analysis for Improved Forgery Detection and Localization},
year = {2017} }
TY - EJOUR
T1 - Spotting the Difference: Context Retrieval and Analysis for Improved Forgery Detection and Localization
AU - Joel Brogan; Paolo Bestagini; Aparna Bharati; Allan Pinto; Daniel Moreira; Kevin Bowyer; Patrick Flynn; Anderson Rocha; Walter Scheirer
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2074
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Joel Brogan, Paolo Bestagini, Aparna Bharati, Allan Pinto, Daniel Moreira, Kevin Bowyer, Patrick Flynn, Anderson Rocha, Walter Scheirer. (2017). Spotting the Difference: Context Retrieval and Analysis for Improved Forgery Detection and Localization. IEEE SigPort. http://sigport.org/2074
Joel Brogan, Paolo Bestagini, Aparna Bharati, Allan Pinto, Daniel Moreira, Kevin Bowyer, Patrick Flynn, Anderson Rocha, Walter Scheirer, 2017. Spotting the Difference: Context Retrieval and Analysis for Improved Forgery Detection and Localization. Available at: http://sigport.org/2074.
Joel Brogan, Paolo Bestagini, Aparna Bharati, Allan Pinto, Daniel Moreira, Kevin Bowyer, Patrick Flynn, Anderson Rocha, Walter Scheirer. (2017). "Spotting the Difference: Context Retrieval and Analysis for Improved Forgery Detection and Localization." Web.
1. Joel Brogan, Paolo Bestagini, Aparna Bharati, Allan Pinto, Daniel Moreira, Kevin Bowyer, Patrick Flynn, Anderson Rocha, Walter Scheirer. Spotting the Difference: Context Retrieval and Analysis for Improved Forgery Detection and Localization [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2074