Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPBW34M/3C9E4D5 |
Repository | sid.inpe.br/sibgrapi/2012/07.12.14.20 |
Last Update | 2012:07.13.14.23.42 filipe.costa@students.ic.unicamp.br |
Metadata | sid.inpe.br/sibgrapi/2012/07.12.14.20.52 |
Metadata Last Update | 2020:02.19.02.18.28 administrator |
Citation Key | CostaEckmScheRoch:2012:OpSeSo |
Title | Open Set Source Camera Attribution  |
Format | DVD, On-line. |
Year | 2012 |
Access Date | 2021, Jan. 24 |
Number of Files | 1 |
Size | 3057 KiB |
Context area | |
Author | 1 Costa, Filipe de Oliveira 2 Eckmann, Michael 3 Scheirer, Walter J. 4 Rocha, Anderson |
Affiliation | 1 University of Campinas 2 Skidmore College 3 University of Colorado 4 University of Campinas |
Editor | Freitas, Carla Maria Dal Sasso Sarkar, Sudeep Scopigno, Roberto Silva, Luciano |
e-Mail Address | filipe.costa@students.ic.unicamp.br |
Conference Name | Conference on Graphics, Patterns and Images, 25 (SIBGRAPI) |
Conference Location | Ouro Preto |
Date | Aug. 22-25, 2012 |
Book Title | Proceedings |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Tertiary Type | Full Paper |
History | 2012-09-20 16:45:34 :: filipe.costa@students.ic.unicamp.br -> administrator :: 2012 2020-02-19 02:18:28 :: administrator -> :: 2012 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Keywords | Digital Forensics, Open Set Recognition, Camera Attribution, Sensor Fingerprinting. |
Abstract | Similar 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. |
source Directory Content | there are no files |
agreement Directory Content | |
Conditions of access and use area | |
data URL | http://urlib.net/rep/8JMKD3MGPBW34M/3C9E4D5 |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3C9E4D5 |
Language | en |
Target File | sibgrapi-2012-filipe-costa-final.pdf |
User Group | filipe.costa@students.ic.unicamp.br |
Visibility | shown |
Allied materials area | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber 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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