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Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPBW34M/3C9E4D5
Repositorysid.inpe.br/sibgrapi/2012/07.12.14.20
Last Update2012:07.13.14.23.42 filipe.costa@students.ic.unicamp.br
Metadatasid.inpe.br/sibgrapi/2012/07.12.14.20.52
Metadata Last Update2020:02.19.02.18.28 administrator
Citation KeyCostaEckmScheRoch:2012:OpSeSo
TitleOpen Set Source Camera Attribution
FormatDVD, On-line.
Year2012
Access Date2021, Jan. 24
Number of Files1
Size3057 KiB
Context area
Author1 Costa, Filipe de Oliveira
2 Eckmann, Michael
3 Scheirer, Walter J.
4 Rocha, Anderson
Affiliation1 University of Campinas
2 Skidmore College
3 University of Colorado
4 University of Campinas
EditorFreitas, Carla Maria Dal Sasso
Sarkar, Sudeep
Scopigno, Roberto
Silva, Luciano
e-Mail Addressfilipe.costa@students.ic.unicamp.br
Conference NameConference on Graphics, Patterns and Images, 25 (SIBGRAPI)
Conference LocationOuro Preto
DateAug. 22-25, 2012
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2012-09-20 16:45:34 :: filipe.costa@students.ic.unicamp.br -> administrator :: 2012
2020-02-19 02:18:28 :: administrator -> :: 2012
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Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsDigital Forensics, Open Set Recognition, Camera Attribution, Sensor Fingerprinting.
AbstractSimilar to ballistic tests in which we match a gun to its bullets, we can identify a given digital camera that acquired an image under investigation. In this paper, we discuss a method for identifying whether or not an image was captured by a specific digital camera. The method relies on noise residual features related to the images under investigation. Our approach considers an "open set" recognition scenario, under which we can not rely on the assumption of full access to all of the potential source cameras. This is the only scenario investigators are faced with in the real world. In this case, we model the decision space to take advantage of a few known cameras and carve the decision boundaries to decrease false matches increasing the reliability of image source attribution as an aid for digital forensics in the court of law. This approach performs favorably vs. the state-of-the-art.
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data URLhttp://urlib.net/rep/8JMKD3MGPBW34M/3C9E4D5
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3C9E4D5
Languageen
Target Filesibgrapi-2012-filipe-costa-final.pdf
User Groupfilipe.costa@students.ic.unicamp.br
Visibilityshown
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Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume

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