Forensic similarity for source camera model comparison

Gardella, Marina - Musé, Pablo

Resumen:

In the article 'Forensic Similarity for Digital Images', O. Mayer and M. C. Stamm introduce the forensic similarity approach, which aims at determining whether two image patches contain the same forensic traces or not. The proposed method is based on a feed-forward neural network which consists of two modules : a feature extraction module using a pair of CNNs in a siamese configuration, and a three-layer neural network that maps the extracted features into a similarity score. In this article, we explore the use of the forensic similarity score for source camera model comparison, as one of the possible applications of such an approach suggested by Mayer and Stamm.


Detalles Bibliográficos
2022
Proyecto ANR-DGA (ANR-16-DEFA-0004)
Proyecto vera.ai (101070093)
Image forensics
Source camera
Camera model
Inglés
Universidad de la República
COLIBRI
http://www.ipol.im/pub/art/2022/424/
https://hdl.handle.net/20.500.12008/39787
Acceso abierto
Licencia Creative Commons Atribución - No Comercial - Compartir Igual (CC - By-NC-SA 4.0)
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author Gardella, Marina
author2 Musé, Pablo
author2_role author
author_facet Gardella, Marina
Musé, Pablo
author_role author
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dc.contributor.filiacion.none.fl_str_mv Gardella Marina, Université Paris-Saclay, France
Musé Pablo, Universidad de la República (Uruguay). Facultad de Ingeniería.
dc.creator.none.fl_str_mv Gardella, Marina
Musé, Pablo
dc.date.accessioned.none.fl_str_mv 2023-09-05T12:31:38Z
dc.date.available.none.fl_str_mv 2023-09-05T12:31:38Z
dc.date.issued.none.fl_str_mv 2022
dc.description.abstract.none.fl_txt_mv In the article 'Forensic Similarity for Digital Images', O. Mayer and M. C. Stamm introduce the forensic similarity approach, which aims at determining whether two image patches contain the same forensic traces or not. The proposed method is based on a feed-forward neural network which consists of two modules : a feature extraction module using a pair of CNNs in a siamese configuration, and a three-layer neural network that maps the extracted features into a similarity score. In this article, we explore the use of the forensic similarity score for source camera model comparison, as one of the possible applications of such an approach suggested by Mayer and Stamm.
dc.description.sponsorship.none.fl_txt_mv Proyecto ANR-DGA (ANR-16-DEFA-0004)
Proyecto vera.ai (101070093)
dc.format.extent.es.fl_str_mv 10 p.
dc.format.mimetype.es.fl_str_mv application/pdf
dc.identifier.citation.es.fl_str_mv Gardella, M. y Musé, P. "Forensic similarity for source camera model comparison". IPOL. Journal Image Processing On Line. [en línea]. 2022, no 12, pp. 480-489. DOI: 10.5201/ipol.2022.424.
dc.identifier.doi.none.fl_str_mv 10.5201/ipol.2022.424
dc.identifier.issn.none.fl_str_mv 2105–1232
dc.identifier.uri.none.fl_str_mv http://www.ipol.im/pub/art/2022/424/
https://hdl.handle.net/20.500.12008/39787
dc.language.iso.none.fl_str_mv en
eng
dc.publisher.es.fl_str_mv ENS Paris-Saclay. Centre Borelli : Universitat de les Illes Balears. DMI : Universidad de la República (Uruguay). Facultad de Ingeniería.
dc.relation.ispartof.es.fl_str_mv IPOL. Journal Image Processing On Line, no. 12, Nov. 2022, pp. 480-489.
dc.rights.license.none.fl_str_mv Licencia Creative Commons Atribución - No Comercial - Compartir Igual (CC - By-NC-SA 4.0)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.es.fl_str_mv Image forensics
Source camera
Camera model
dc.title.none.fl_str_mv Forensic similarity for source camera model comparison
dc.type.es.fl_str_mv Artículo
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description In the article 'Forensic Similarity for Digital Images', O. Mayer and M. C. Stamm introduce the forensic similarity approach, which aims at determining whether two image patches contain the same forensic traces or not. The proposed method is based on a feed-forward neural network which consists of two modules : a feature extraction module using a pair of CNNs in a siamese configuration, and a three-layer neural network that maps the extracted features into a similarity score. In this article, we explore the use of the forensic similarity score for source camera model comparison, as one of the possible applications of such an approach suggested by Mayer and Stamm.
eu_rights_str_mv openAccess
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identifier_str_mv Gardella, M. y Musé, P. "Forensic similarity for source camera model comparison". IPOL. Journal Image Processing On Line. [en línea]. 2022, no 12, pp. 480-489. DOI: 10.5201/ipol.2022.424.
2105–1232
10.5201/ipol.2022.424
instacron_str Universidad de la República
institution Universidad de la República
instname_str Universidad de la República
language eng
language_invalid_str_mv en
network_acronym_str COLIBRI
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publishDate 2022
reponame_str COLIBRI
repository.mail.fl_str_mv mabel.seroubian@seciu.edu.uy
repository.name.fl_str_mv COLIBRI - Universidad de la República
repository_id_str 4771
rights_invalid_str_mv Licencia Creative Commons Atribución - No Comercial - Compartir Igual (CC - By-NC-SA 4.0)
spelling Gardella Marina, Université Paris-Saclay, FranceMusé Pablo, Universidad de la República (Uruguay). Facultad de Ingeniería.2023-09-05T12:31:38Z2023-09-05T12:31:38Z2022Gardella, M. y Musé, P. "Forensic similarity for source camera model comparison". IPOL. Journal Image Processing On Line. [en línea]. 2022, no 12, pp. 480-489. DOI: 10.5201/ipol.2022.424.2105–1232http://www.ipol.im/pub/art/2022/424/https://hdl.handle.net/20.500.12008/3978710.5201/ipol.2022.424In the article 'Forensic Similarity for Digital Images', O. Mayer and M. C. Stamm introduce the forensic similarity approach, which aims at determining whether two image patches contain the same forensic traces or not. The proposed method is based on a feed-forward neural network which consists of two modules : a feature extraction module using a pair of CNNs in a siamese configuration, and a three-layer neural network that maps the extracted features into a similarity score. In this article, we explore the use of the forensic similarity score for source camera model comparison, as one of the possible applications of such an approach suggested by Mayer and Stamm.Submitted by Ribeiro Jorge (jribeiro@fing.edu.uy) on 2023-09-01T23:55:35Z No. of bitstreams: 2 license_rdf: 23749 bytes, checksum: 6a69abe32f6fabdffa4c61be8f8efebd (MD5) GM22.pdf: 27313365 bytes, checksum: 01bd73a106be568ddcd37a5f146ab631 (MD5)Approved for entry into archive by Machado Jimena (jmachado@fing.edu.uy) on 2023-09-04T18:54:59Z (GMT) No. of bitstreams: 2 license_rdf: 23749 bytes, checksum: 6a69abe32f6fabdffa4c61be8f8efebd (MD5) GM22.pdf: 27313365 bytes, checksum: 01bd73a106be568ddcd37a5f146ab631 (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2023-09-05T12:31:38Z (GMT). No. of bitstreams: 2 license_rdf: 23749 bytes, checksum: 6a69abe32f6fabdffa4c61be8f8efebd (MD5) GM22.pdf: 27313365 bytes, checksum: 01bd73a106be568ddcd37a5f146ab631 (MD5) Previous issue date: 2022Proyecto ANR-DGA (ANR-16-DEFA-0004)Proyecto vera.ai (101070093)10 p.application/pdfenengENS Paris-Saclay. Centre Borelli : Universitat de les Illes Balears. DMI : Universidad de la República (Uruguay). Facultad de Ingeniería.IPOL. Journal Image Processing On Line, no. 12, Nov. 2022, pp. 480-489.Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Compartir Igual (CC - By-NC-SA 4.0)Image forensicsSource cameraCamera modelForensic similarity for source camera model comparisonArtículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaGardella, MarinaMusé, PabloProcesamiento de SeñalesTratamiento de ImágenesLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/39787/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; charset=utf-850http://localhost:8080/xmlui/bitstream/20.500.12008/39787/2/license_urla9ac1bac94fe38dbe560422d834a993fMD52license_textlicense_texttext/html; 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- Universidad de la Repúblicafalse
spellingShingle Forensic similarity for source camera model comparison
Gardella, Marina
Image forensics
Source camera
Camera model
status_str publishedVersion
title Forensic similarity for source camera model comparison
title_full Forensic similarity for source camera model comparison
title_fullStr Forensic similarity for source camera model comparison
title_full_unstemmed Forensic similarity for source camera model comparison
title_short Forensic similarity for source camera model comparison
title_sort Forensic similarity for source camera model comparison
topic Image forensics
Source camera
Camera model
url http://www.ipol.im/pub/art/2022/424/
https://hdl.handle.net/20.500.12008/39787

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