Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/327966
Type: Artigo
Title: Illuminant-based Transformed Spaces For Image Forensics
Author: Carvalho
Tiago; Faria
Fabio A.; Pedrini
Helio; Torres
Ricardo da S.; Rocha
Anderson
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.
Subject: Digital Forensics
Splicing Detection
Illuminant Maps
Image Descriptors
Machine Learning
Diversity Measures
Editor: IEEE-Inst Electrical Electronics Engineers Inc
Piscataway
Rights: fechado
Identifier DOI: 10.1109/TIFS.2015.2506548
Address: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7349174
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File SizeFormat 
000370734700005.pdf4.25 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.