| Full text | |
| Author(s): |
Carvalho, Tiago
[1]
;
Faria, Fabio A.
[2]
;
Pedrini, Helio
[1]
;
Torres, Ricardo da S.
[1]
;
Rocha, Anderson
[1]
Total Authors: 5
|
| Affiliation: | [1] Univ Estadual Campinas, Inst Comp, RECOD Lab, BR-13083970 Campinas, SP - Brazil
[2] Univ Fed Sao Paulo, GIBIS Lab, BR-04021001 Sao Paulo - Brazil
Total Affiliations: 2
|
| Document type: | Journal article |
| Source: | IEEE Transactions on Information Forensics and Security; v. 11, n. 4, p. 720-733, APR 2016. |
| Web of Science Citations: | 13 |
| 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. (AU) | |
| FAPESP's process: | 11/22749-8 - Challenges in exploratory visualization of multidimensional data: paradigms, scalability and applications |
| Grantee: | Luis Gustavo Nonato |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 10/14910-0 - Evidence-Fusion Methods for Multimedia Retrieval and Classification |
| Grantee: | Fabio Augusto Faria |
| Support Opportunities: | Scholarships in Brazil - Doctorate |
| FAPESP's process: | 10/05647-4 - Digital forensics: collection, organization, classification and analysis of digital evidences |
| Grantee: | Anderson de Rezende Rocha |
| Support Opportunities: | Research Grants - Young Investigators Grants |