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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3C9E4D5
Repositorysid.inpe.br/sibgrapi/2012/07.12.14.20
Last Update2012:07.13.14.23.42 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2012/07.12.14.20.52
Metadata Last Update2022:06.14.00.07.30 (UTC) administrator
DOI10.1109/SIBGRAPI.2012.19
Citation KeyCostaEckmScheRoch:2012:OpSeSo
TitleOpen Set Source Camera Attribution
FormatDVD, On-line.
Year2012
Access Date2024, May 07
Number of Files1
Size3057 KiB
2. Context
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, MG, Brazil
Date22-25 Aug. 2012
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2012-09-20 16:45:34 :: filipe.costa@students.ic.unicamp.br -> administrator :: 2012
2022-03-08 21:03:23 :: administrator -> menottid@gmail.com :: 2012
2022-03-10 12:51:14 :: menottid@gmail.com -> administrator :: 2012
2022-06-14 00:07:30 :: administrator -> :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
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.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2012 > Open Set Source...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Open Set Source...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 12/07/2012 11:20 0.7 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/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
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SL8GS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.15.03.31 8
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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