Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2012:
Metadata Last Update2020: administrator
Citation KeyCostaEckmScheRoch:2012:OpSeSo
TitleOpen Set Source Camera Attribution
FormatDVD, On-line.
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
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 :: -> 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
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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