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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

All data provided in the 'VISION 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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Datasets

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

 

EVA-7K

The 'EVA-7K dataset' contains 7000 videos: native, altered and exchanged through social platforms. The altered contents include manipulations with FFmpeg, AVIdemux, Kdenlive and Adobe Premiere. The social platforms used to exchange the native and altered videos are Facebook, Tiktok, Youtube and Weibo.

 

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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

 

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