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. © 2011 IEEE.
Barni, M., Bianchi, T., DE ROSA, A., Fontani, M., Piva, A. (2011). A Dempster-Shafer frame work for decision fusion in image forensics. In Proceedings of WIFS 2011, Third IEEE Int. Workshop on Information Forensics and Security (pp.1-6). IEEE [10.1109/WIFS.2011.6123156].
A Dempster-Shafer frame work for decision fusion in image forensics
BARNI M.;
2011-01-01
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. © 2011 IEEE.
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https://hdl.handle.net/11365/4953
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