funded by: Regione Toscana | CYNNY S.P.A.
Nov 2018 – Apr 2021
Funded by: MIUR – PON | CNR
IDEHA will create an open IT platform for Cultural Heritage, combining both digital content from traditional repositories and information generated in real time by users or environmental sensors; aggregating, processing and understanding the data by utilizing new learning technologies to build services that can be used by different users profiled through specific multimodal applications.
In this project we address the problem of predicting action progress in videos. This is an extremely important task because, on the one hand, it can be valuable for a wide range of applications and, on the other hand, it facilitates better action detection results.
To solve this problem we introduce a novel approach, named ProgressNet, capable of predicting when an action takes place in a video, where it is located within the frames, and how far it has progressed during its execution.
funded by: Leonardo – Finmeccanica
GANIMEDE is a technology transfer project in collaboration with the Italian multinational aerospace, defense and security company Leonardo. In this project MICC is developing a video analysis framework to detect and recognise objects of security interest.