CIF: SMALL: RUI: Novel Detection Approaches with Comprehensive Hybrid Intelligent Systems for Multimedia Forensics

Description

Machine learning and computational intelligence techniques for developing hybrid systems able to novel detection in multimedia forensics. Multimedia forensics is increasingly becoming an important research area for protecting public safety and enhancing national security; steganalysis and forgery detection are becoming two active research areas, even as they are still in their inception. The shortage of comprehensive detection systems has severely impeded progress and practical applications in the field. This study will facilitate the work of forensic practitioners in criminal investigations and will deliver to the community benchmark datasets, performance evaluation standards and models, software design and the analysis toolkit in order to design and test new steganalysis/forgery detection system approaches.

Researchers

Funded by

NSF-USA

Total budget

320 000,00 €

Keywords

Multimedia Forensics, Machine Learning

Start Date

2014-01-01

End Date

2017-12-01

Journal Articles

Conference Articles