funded by: European commition
This project aims to strengthen the role of Latin American Universities as instruments of social and economic development in the cultural heritage sector through the design and implementation of 4 competence centers on cultural heritage specialised in: smart computing, 3d, big data and human-machine interaction.
supported by: Regione Toscana
Our smart audio guide perceives the context and is able to interact with users: it performs automatic recognition of artworks, to enable a semi-automatic interaction with the wearer. The system is backed by a computer vision system capable to work in real-time on a mobile device, coupled with audio and motion sensors. The system has been deployed on a NVIDIA Jetson TK1 and a NVIDIA Shield Tablet K1, and tested in a real world environment (Bargello Museum of Florence).
The success of media sharing and social networks has led to the availability of extremely large quantities of images that are tagged by users. The need of methods to manage efficiently and effectively the combination of media and metadata poses significant challenges. In this project, we perform social media analysis and propose methods for automatic annotation of social images and videos.