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Home Page of Fabrizio Argenti

Fabrizio Argenti - Associate Professor

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HDR License

HDR License

Copyright (c) CSP Lab. (Communications & Signal Processing Laboratory), Dept. Information Engineering, University of Florence, 2018

All data provided in the 'HDR dataset' are made freely available for scientific, non-commercial purposes such as academic research, teaching, or personal experimentation. Permission is granted to use and copy the provided data given that you agree to the following coniditions:

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VISION Dataset License

VISION Dataset License

Copyright (c) CSP Lab. (Communications & Signal Processing Laboratory), Dept Information Engineering, University of Florence, 2017

This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.

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Datasets

Note: The following links are available only via Mozilla Firefox as from 25/03/2020.

 

EVA-7K

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Home Page Alessia De Rosa

 

Dipartimento di Ingegneria dell'Informazione
Università degli Studi di Firenze
Via S. Marta 3, 50139, Firenze, Italy
Tel: +39 055 2758550
Fax: +39 055 2758570
E-mail: alessia.derosa [AT] unifi.it

Research  |  Projects  |  Publications

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Secure Signal Processing

e-FFT.rar

This archive includes a C++ prototype implementation of encrypted domain fast Fourier transform (e-FFT) based on Paillier homomorphic cryptosystem [1]. Both radix-2 and radix-4 decimation in time versions are provided. If you find the code useful, please cite the following reference:

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Multimedia Forensics

GVPF repository
 

This repository includes a Matlab implementation of the Generalized Variation of Prediction Footprint. The tool is described in D. Vázquez-Padín, M. Fontani, D. Shullani, F. Pérez-González, A. Piva, M. Barni. "Video Integrity Verification and GOP Size Estimation via Generalized Variation of Prediction Footprint" to appear in IEEE Transactions on Information Forensics and Security, 10.1109/TIFS.2019.2951313.

 

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Alessandro Piva's Home Page

Alessandro Piva's Photo Associate Professor
Department of Information Engineering 
University of Florence
via S. Marta 3, 50139, Firenze, Italy
tel: +39 055 2758584
e-mail: alessandro.piva [AT] unifi.it

 

 

Head of FORLAB, Multimedia Forensics Laboratory

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