Seam Carving Detection Using Convolutional Neural Networks

Detalhes bibliográficos
Autor(a) principal: Silva Cieslak, Luiz Fernando da [UNESP]
Data de Publicação: 2018
Outros Autores: Pontara da Costa, Kelton Augusto [UNESP], Papa, Joao Paulo [UNESP], IEEE
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/186455
Resumo: Deep Learning techniques have been widely used in the recent years, primarily because of their efficiency in several applications, such as engineering, medicine, and data security. Seam carving is a content-aware image resizing method that can also be used for image tampering, being not straightforward to be identified. In this paper, we combine Convolutional Neural Networks and Local Binary Patterns to recognize whether an image has been modified automatically or not by seam carving. The experimental results show that the proposed approach can achieve accuracies within the range [81% - 98%] depending on the severity of the tampering procedure.
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spelling Seam Carving Detection Using Convolutional Neural NetworksDeep LearningConvolutional Neural NetworksSeam CarvingComputer ForensicsDeep Learning techniques have been widely used in the recent years, primarily because of their efficiency in several applications, such as engineering, medicine, and data security. Seam carving is a content-aware image resizing method that can also be used for image tampering, being not straightforward to be identified. In this paper, we combine Convolutional Neural Networks and Local Binary Patterns to recognize whether an image has been modified automatically or not by seam carving. The experimental results show that the proposed approach can achieve accuracies within the range [81% - 98%] depending on the severity of the tampering procedure.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Sao Paulo State Univ, UNESP, BR-17033360 Bauru, SP, BrazilSao Paulo State Univ, UNESP, BR-17033360 Bauru, SP, BrazilFAPESP: 2013/07375-0FAPESP: 2014/12236-1FAPESP: 2016/19403-6FAPESP: 2016/25687-7CNPq: 306166/2014-3CNPq: 307066/2017-7IeeeUniversidade Estadual Paulista (Unesp)Silva Cieslak, Luiz Fernando da [UNESP]Pontara da Costa, Kelton Augusto [UNESP]Papa, Joao Paulo [UNESP]IEEE2019-10-04T23:45:17Z2019-10-04T23:45:17Z2018-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject195-1992018 Ieee 12th International Symposium On Applied Computational Intelligence And Informatics (saci). New York: Ieee, p. 195-199, 2018.http://hdl.handle.net/11449/186455WOS:000448144200034Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2018 Ieee 12th International Symposium On Applied Computational Intelligence And Informatics (saci)info:eu-repo/semantics/openAccess2024-04-23T16:11:12Zoai:repositorio.unesp.br:11449/186455Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-04-23T16:11:12Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Seam Carving Detection Using Convolutional Neural Networks
title Seam Carving Detection Using Convolutional Neural Networks
spellingShingle Seam Carving Detection Using Convolutional Neural Networks
Silva Cieslak, Luiz Fernando da [UNESP]
Deep Learning
Convolutional Neural Networks
Seam Carving
Computer Forensics
title_short Seam Carving Detection Using Convolutional Neural Networks
title_full Seam Carving Detection Using Convolutional Neural Networks
title_fullStr Seam Carving Detection Using Convolutional Neural Networks
title_full_unstemmed Seam Carving Detection Using Convolutional Neural Networks
title_sort Seam Carving Detection Using Convolutional Neural Networks
author Silva Cieslak, Luiz Fernando da [UNESP]
author_facet Silva Cieslak, Luiz Fernando da [UNESP]
Pontara da Costa, Kelton Augusto [UNESP]
Papa, Joao Paulo [UNESP]
IEEE
author_role author
author2 Pontara da Costa, Kelton Augusto [UNESP]
Papa, Joao Paulo [UNESP]
IEEE
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Silva Cieslak, Luiz Fernando da [UNESP]
Pontara da Costa, Kelton Augusto [UNESP]
Papa, Joao Paulo [UNESP]
IEEE
dc.subject.por.fl_str_mv Deep Learning
Convolutional Neural Networks
Seam Carving
Computer Forensics
topic Deep Learning
Convolutional Neural Networks
Seam Carving
Computer Forensics
description Deep Learning techniques have been widely used in the recent years, primarily because of their efficiency in several applications, such as engineering, medicine, and data security. Seam carving is a content-aware image resizing method that can also be used for image tampering, being not straightforward to be identified. In this paper, we combine Convolutional Neural Networks and Local Binary Patterns to recognize whether an image has been modified automatically or not by seam carving. The experimental results show that the proposed approach can achieve accuracies within the range [81% - 98%] depending on the severity of the tampering procedure.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-01
2019-10-04T23:45:17Z
2019-10-04T23:45:17Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv 2018 Ieee 12th International Symposium On Applied Computational Intelligence And Informatics (saci). New York: Ieee, p. 195-199, 2018.
http://hdl.handle.net/11449/186455
WOS:000448144200034
identifier_str_mv 2018 Ieee 12th International Symposium On Applied Computational Intelligence And Informatics (saci). New York: Ieee, p. 195-199, 2018.
WOS:000448144200034
url http://hdl.handle.net/11449/186455
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2018 Ieee 12th International Symposium On Applied Computational Intelligence And Informatics (saci)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 195-199
dc.publisher.none.fl_str_mv Ieee
publisher.none.fl_str_mv Ieee
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
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