MARVEL: Multimodal Extreme Scale Data Analytics for Smart Cities Environments
Dragana Bajović, Arian Bakhtiarnia, George Bravos, Alessio Brutti, Felix Burkhardt, Daniel Cauchi, Antony Chazapis, Claire Cianco, Nicola Dall’Asen, Vlado Delić, Christos Dimou, Djordje Djokic, Antonio Escobar-Molero, Lukas Esterle, Florian Eyben, Elisabetta Farella, Thomas Festi, Artemios Geromitsos, Giannis Giakoumakis, George Hatzivasilis, Sotiris Ioannidis, Alexandros Iosifidis, Theodora Kallipolitou, Grigorios Kalogiannis, Akrivi Kiousi, Despina Kopanaki, Manolis Marazakis, Stella Markopoulou, Adrian Muscat, Francesco Paissan, Tomás Pariente Lobo, Dušan Pavlović, Theofanis P. Raptis, Elisa Ricci, Borja Saez, Farhan Sahito, Kenneth Scerri, Björn W. Schuller, Nikola Simić, George Spanoudakis, Alex Tomasi, Andreas Triantafyllopoulos, Lorenzo Valerio, Javier Villazán, Yiming Wang, André Xuereb, Johan Zammit
Abstract
A Smart City based on data acquisition, handling and intelligent analysis requires efficient design and implementation of the respective AI technologies and the underlying infrastructure for seamlessly analyzing the large amounts of data in real-time. The EU project MARVEL will research solutions that can improve the integration of multiple data sources in a Smart City environment for harnessing the advantages rooted in multimodal perception of the surrounding environment.