A Dempster-Shafer framework for decision fusion in image forensics

Author

Fontani, M. ; Bianchi, T. ; De Rosa, A. ; Piva, A. ; Barni, M.

Author_Institution

Dept. of Electron. & Telecommun., Univ. of Florence, Florence, Italy

fYear

2011

fDate

Nov. 29 2011-Dec. 2 2011

Firstpage

1

Lastpage

6

Abstract

In this work a decision fusion strategy for image forensics is presented, based on Dempster-Shafer´s Theory of Evidence. The goal is to automatically summarize the information provided by several image forensics tools, allowing both a binary and a soft interpretation of the global output produced. The proposed strategy is easily extendable to an arbitrary number of tools, it does not require that the output of the various tools be probabilistic and it takes into account available information about tools reliability. Comparison with logical disjunction- and SVM-based fusion shows an improvement in classification accuracy.

Keywords

computer forensics; image classification; image fusion; support vector machines; Dempster-Shafer theory; SVM-based fusion; binary interpretation; classification accuracy; decision fusion strategy; image forensics tools reliability; logical disjunction; soft interpretation; US Department of Energy;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Forensics and Security (WIFS), 2011 IEEE International Workshop on

Conference_Location

Iguacu Falls

Print_ISBN

978-1-4577-1017-9

Electronic_ISBN

978-1-4577-1018-6

Type

conf

DOI

10.1109/WIFS.2011.6123156

Filename

6123156