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 SVMbased fusion shows an improvement in classification accuracy
A Dempster-Shafer Framework for Decision Fusion in Image Forensics / M. Fontani; T. Bianchi; A. De Rosa; A. Piva; M. Barni. - ELETTRONICO. - (2011), pp. 1-6. (Intervento presentato al convegno 2011 IEEE Workshop on Information Forensics and Security tenutosi a Foz do Iguaçu, Brazil nel November 29th - December 2nd 2011) [10.1109/WIFS.2011.6123156].
A Dempster-Shafer Framework for Decision Fusion in Image Forensics
FONTANI, MARCO;DE ROSA, ALESSIA;PIVA, ALESSANDRO;
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 SVMbased fusion shows an improvement in classification accuracy
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