Title :
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
fDate :
Nov. 29 2011-Dec. 2 2011
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;
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
DOI :
10.1109/WIFS.2011.6123156
