- Simple ideas feed research on multimedia and computer vision
I'm an interaction designer and an intelligent web applications developer. My research interests focus on machine learning, collective intelligence, rich internet applications, social networks analysis and the semantic web.
I'm a PhD student at University of Florence. My main research interests are focused on application of pattern recognition and computer vision specifically in the field of video-surveillance with PTZ cameras, local pose estimation and 2D/3D face pose estimation.
I’m currently a PhD student at University of Florence. My research interests are focused on application of pattern recognition and machine learning, computer vision specifically in the field of human activity recognition.
I'm working as assistant professor at the Dipartimento Sistemi e Informatica of the University of Florence. My research work is in the field of Computer Vision and Pattern Recognition, and I mostly work on automatic video analysis, annotation and semantic transcoding.
I'm a developer and an interaction designer. My work focus on natural interaction and multitouch surfaces, rich internet applications and the semantic web.
- Andrea Ferracani
Flarty is a mobile location based social network conceived for the dynamic construction and recommendation of art routes in the city of Florence, Italy, via item based similarity algorithms, places topic extraction and user interest modeling.
To achieve this goal Flarty derives knowledge from users check-ins and combines clustering techniques and recommendation algorithms, as well as features such as geo-location, to define groups of similar artworks or POIs (Points Of Interest) and to compute the most efficient routes likely to meet user’s interests.
Flarty was ideated and designed by Andrea Ferracani and Daniele Pezzatini and was developed by the students Stefano Lombini, Matteo Mazzola and Giovanni Taverriti for their bachelor thesis carried out at MICC under the supervision of prof. Alberto Del Bimbo, full Professor at the Faculty of Engineering of the University of Florence with the collaboration of Desideria Andò, student at the Faculty of Industrial Design at the University of Florence, for the graphic design.
Graficami is a Facebook application which generates an advance infographic of the user’s interests and of the interests that they share with their friends built through information obtained from their public profile. Furthermore Graficami is a social network: each user of the app can visualize the infographic of other users of Graficami, browse their profiles and discover the more similar to him or browse resources he could be interested in.
Graficami extracts from Facebook users’ profiles data about explicit interests (books, movie et cetera), likes to pages and friends. Then it saves the data to csv and json, files used later by the D3 library to generate the visualizations.
Graficami was ideated and designed by Andrea Ferracani and Daniele Pezzatini and was developed by the students Alessio Sarullo and Giulio Galvan for the course in Multimedia Design and Production of Prof. Alberto Del Bimbo at the Faculty of Engineering of the University of Florence.