- 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
This project describes a vision based approach which allows a user to immersively navigate a real cultural environment through a lightweight web based system for the interactive walk-through and browsing of an ordered sequence of spherical panoramas.
In order to support the navigation between panoramas the interaction design model uses a metaphor based on the zooming action of the user: the transition takes place only when the current zoom level exceeds a particular threshold. In order to minimise the gap in the transition between the two scenes, we studied and developed an algorithm that performs sub-scene matching.
The application can be configured in order to show interactive hotspots in the virtual walkthrough. Each hotspot can be activated by users and it provides several multimedia additional material about specific POIs. Hotspots are constituted by four graphic icons arranged in a circular menu. Each item represents one of the following multimedia categories: 1) gallery of images/videos, 2) PDF, 3) 3D object, 4) Indoor panorama (blue icon).
The research was conducted as part of a project developed in collaboration with F.A.S.T S.R.L. (Fine Art Science and Technology), which provided all the multimedia material, and funded by Regione Toscana.
LiveCities is a web application for urban computing developed by the students Federico D’Amato and Martina Sereni as final work for the Bachelor of Art at the Faculty of Engineering of University of Florence under the supervision of prof. Alberto Del Bimbo, and his assistants Andrea Ferracani and Daniele Pezzatini.
LiveCities is a web application with the purpose to reveal the hidden character of several italian cities through check-ins and venues’ clustering and information visualisations paradigms. The main novelty in the system is constituted by the way feature selection is performed. Venues are analysed on the basis not only of check-in categorisation but also considering the semantics of Facebook profiles of people who checked-in.
Furthermore LiveCities provides personal recommendation of areas and venues matching user interests and allows the free exploration of urban social dynamics in terms of people lifestyle, business, demographics, transport etc. with the objective to uncover the real ‘pulse’ of the city.
FlorenceRoutes is a mobile web application for the dynamic personalized creation of visiting itineraries between set of Point Of Interests (POIs) in the city of Florence, Italy.
The user can log in with Facebook and he is offered the chance to select from a list of Florence POIs, then the application geolocates the user and presents a map with the a customized itinerary based on user preferences. The routes are enriched with suggestions related to user interests extracted analyzing Facebook user profiles. Additional information about resources are available in terms of descriptions, photos, distances, opening and closing timetables et cetera.
FlorenceRoutes has been developed as a mobile web application using jQuery Mobile. The app was ideated and designed by Andrea Ferracani and Daniele Pezzatini and was developed by the students Giovanni Cavallaro and Marco Occhini for the course in Multimedia Design and Production of Prof. Alberto Del Bimbo at the Faculty of Engineering of the University of Florence.