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|Title:||Illuminant-based transformed spaces for image forensics|
Faria, Fábio A.
Torres, Ricardo da S.
|Abstract:||In this paper, we explore transformed spaces, represented by image illuminant maps, to propose a methodology for selecting complementary forms of characterizing visual properties for an effective and automated detection of image forgeries. We combine statistical telltales provided by different image descriptors that explore color, shape, and texture features. We focus on detecting image forgeries containing people and present a method for locating the forgery, specifically, the face of a person in an image. Experiments performed on three different open-access data sets show the potential of the proposed method for pinpointing image forgeries containing people. In the two first data sets (DSO-1 and DSI-1), the proposed method achieved a classification accuracy of 94% and 84%, respectively, a remarkable improvement when compared with the state-of-the-art methods. Finally, when evaluating the third data set comprising questioned images downloaded from the Internet, we also present a detailed analysis of target images.|
In this paper, we explore transformed spaces, represented by image illuminant maps, to propose a methodology for selecting complementary forms of characterizing visual properties for an effective and automated detection of image forgeries. We combine stat
|Subject:||Ciência forense digital|
Aprendizado de máquina
Medidas de diversidade
Análise forense de imagem
|Editor:||Institute of Electrical and Electronics Engineers|
|Citation:||Ieee Transactions On Information Forensics And Security. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, n. 11, n. 4, p. 720 - 733.|
|Appears in Collections:||IC - Artigos e Outros Documentos|
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