Home Page of Fabrizio Argenti

Fabrizio Argenti - Professore Associato


Dipartimento di Ingegneria dell'Informazione

Via di S. Marta, 3 - 50139 Firenze Italia

Telefono +39 0552758605

Fax: +39 0552758570

e-mail: fabrizio.argenti (at) unifi.it






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


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




Home Page Marco Fontani

Marco Fontani - Ph.D Student

Marco Fontani is a Ph.D. student in the University of Siena. He belongs to the VIPP (Visual Informatic Processing and Protection) group, and his research is mainly focused on Multimedia Forensics.



A digital watermark is a signal permanently embedded into a multimedia content (audio, image, video, text) that can be detected or extracted later by means of computing operations to make an assertion about the data.


Multimedia Forensics

Multimedia Forensics includes a set of scientific techniques recently proposed for the analysis of multimedia signals (audio, videos, images) in order to recover probative evidences from them; in particular, such technologies aim to reveal the history of digital contents:

  • identifying the acquisition device that produced the data,

  • validating the integrity of the contents,

  • retrieving information from multimedia signals.


Secure Signal Processing

 Recent advances in the processing of digital contents have made available a large number of new services regarding the fruition of these contents. Some examples are the linking of massive volumes of personal data by service providers such as search engines, social networks, video galleries, or the outsourcing of services such as computing on sensitive data to remote servers.



Subscribe to IAPP