TOTEM

TOTEM (4D Trento Time Machine) aims to (i) use and valorize historical data (especially maps and photos) preserved in the local archives and (ii) make them explorable through advanced ICT solutions.

TOTEM proposes a multi-temporal exploration of historical data, testing and developing several AI-based solutions to enhance the historical value of archives sources. TOTEM will focus its activities on the city of Trento (Italy).

More specifically, the project is going to develop and deploy advanced ICT solutions for using, valorizing, visualizing, studying, analysing and communicating historical data, such as:

• Machine learning methods to predict building heights in historical maps

• Deep learning methods to colorize historical images

• Re-photographing solutions to geo-reference historical photos and overlay them with actual images

• Deep learning techniques for creating 3D effects on historical images

• AR visualization on smartphones and tablets

TOTEM, with its results, offers the opportunity to visit the city of Trento (Italy) of the last 150 years, reading the urban transformations in the reconstructive 3D cities and visualizing and comparing historical photos with actual situations.

TOTEM collaborates with the EU HERA project HiddenCities.

TOTEM runs from 2020 to 2022 and is a project funded by Fondazione Caritro - grant #2019.0236.