IDEHA - Innovation for Data Elaboration in Heritage Areas

IDEHA aiming at creating 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 (technician, researcher, tourist, etc.) profiled through specific multimodal applications (e.g. mobile apps) and usable in wide scale on different cultural sites, large or small, distributed across the territory.

PARTNERS

• Italian National Research Council (CNR)

• Engineering Ingegneria Informatica

• University of Palermo

• University of Florence

• University of Modena and Reggio Emilia

• University of Bologna

• CRS4 (Sardinia)

• Innovaway

• Engineering Ingegneria Informatica

• 2038 Innovation Company

• Demetrix.

 

DESCRIPTION

IDEHA aiming at creating 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 (technician, researcher, tourist, etc.) profiled through specific multimodal applications (e.g. mobile apps) and usable in wide scale on different cultural sites, large or small, distributed across the territory.

Central components of the architecture will be:

• a catalogue of resources that enumerates, index and make different entities searchable: content (search datasets, 3D models, information model files), tools and services (HBIM, digital libraries, viewers, GIS, etc.);
• a platform that can aggregate different types of content:

a) real-time, coming from sensory, IoT, social networks and other crowd-based content;

             b) information from HBIM systems;

c) research data, coming from traditional instrumentation for diagnostics and conservation;

d) other contextual data, coming from different fields of humanistic research, archival, librarian, historical, philological, linguistic etc.

• a suite of front-end services for navigating and enjoying, multilevel and multichannel of the above resources, including through mobile devices.
• a series of innovative services for immersive use; Artificial Intelligence Applications for Cultural Heritage, for the development of decision support systems and programmed conservation. It is therefore aimed at an intelligent system to connect Cultural Heritage information, based on an open source framework to support:
• creation of value-added applications and services for tourism and economic development of the Mezzogiorno region;
• creation of innovative solutions for the enjoyment and preservation of Cultural Heritage, also through the transfer of technology and skills between research centres and SMEs;
• planning and rationalization of operations on Cultural Heritage.

 

SITES OF EXPERIMENTATIONS

A set of real-world on-site experiments to validate the IDEHA  has been identified. In particular, the experimentation sites already identified are:

• Winery in Montalcino (Tuscany)
• Production company of balsamic vinegar in Modena (Acetaia Gambigliani-Zoccoli, MO)
• Real Site of Carditello (Campania)
• Archaeological Area of Castrum Novum (Latium)
• Former Florio Tuna Plant in Favignana (Sicily)
• Regge Sabaude (Piedmont)
• Nuraghi and other sites in Sardinia
• Archaeological Area of Castrum Novum
• One or more than one among the archaeological Areas of Arpi (Foggia,) Siponto (Manfredonia) ed Herdonia (Ordona, FG)

 

TRANSPARENCY (CV of the temporary researchers hired for the project)

Alessia Bertugli - CV

Fabio Lanzi - CV

Chiara Conte - CV

Gianluca Maugeri - 

Alessio Monti -

Matteo Fincato - 

 

 

 

Publications

1	Stefanini, Matteo; Cornia, Marcella; Baraldi, Lorenzo; Cucchiara, Rita "A Novel Attention-based Aggregation Function to Combine Vision and Language" Proceedings of the 25th International Conference on Pattern Recognition, Milan, Italy, pp. 1212 -1219 , 10-15 January 2021, 2021 | DOI: 10.1109/ICPR48806.2021.9413269 Conference
2	Allegretti, Stefano; Bolelli, Federico; Grana, Costantino "Optimized Block-Based Algorithms to Label Connected Components on GPUs" IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, vol. 31, pp. 423 -438 , 2020 | DOI: 10.1109/TPDS.2019.2934683 Journal
3	Bolelli, Federico; Allegretti, Stefano; Baraldi, Lorenzo; Grana, Costantino "Spaghetti Labeling: Directed Acyclic Graphs for Block-Based Connected Components Labeling" IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 29, pp. 1999 -2012 , 2020 | DOI: 10.1109/TIP.2019.2946979 Journal
4	Cornia, Marcella; Stefanini, Matteo; Baraldi, Lorenzo; Corsini, Massimiliano; Cucchiara, Rita "Explaining Digital Humanities by Aligning Images and Textual Descriptions" PATTERN RECOGNITION LETTERS, vol. 129, pp. 166 -172 , 2020 | DOI: 10.1016/j.patrec.2019.11.018 Journal
5	Cornia, Marcella "Imparare a descrivere gli oggetti salienti presenti nelle immagini tramite la visione e il linguaggio" 2020 Other
6	Cornia, Marcella; Baraldi, Lorenzo; Tavakoli, Hamed R.; Cucchiara, Rita "A Unified Cycle-Consistent Neural Model for Text and Image Retrieval" MULTIMEDIA TOOLS AND APPLICATIONS, vol. 79, pp. 25697 -25721 , 2020 | DOI: 10.1007/s11042-020-09251-4 Journal
7	Bergamini, L.; Sposato, M.; Pellicciari, M.; Peruzzini, M.; Calderara, S.; Schmidt, J. "Deep learning-based method for vision-guided robotic grasping of unknown objects" ADVANCED ENGINEERING INFORMATICS, vol. 44, pp. 101052 -101066 , 2020 | DOI: 10.1016/j.aei.2020.101052 Journal