International Workshop on PeRvasive sEnsing and muLtimedia UnDErstanding

Scope

Advances in sensing and computing are currently impacting several sectors ranging from healthcare to cultural heritage, from smart cities to Industry 4.0. Information collected by sensors is propagated through internet-based systems and processed through the network’s nodes. Mobile, edge and fog computing approaches have pushed advanced “smart” processing to the far edges of the network, while AI as a Service (AIaaS) paradigms abstract and virtualise intelligent services for deployment on the cloud. Multimedia information, including images, video streams, acoustic data and temporal series, are a relevant part of the data to be processed, analysed and understood for fully taking advantage of sensing resources.

This workshop aims to shorten the gap between edge-based and cloud-based approaches for multimedia understanding by addressing the challenges and opportunities of the combined approach. Relevance will be given to transversal issues, such as those related to the privacy and security of such hybrid strategies, as well as to the quest for optimal and greener configuration of AI services towards sustainable and ethical use of computing resources. The co-existence of intelligent services distributed in a computational continuum made of heterogeneous nodes opens the possibilities of performing learning, including reinforcement learning, in such scenarios while coping with possible data shortage or faults of some nodes.

Contributions addressing the above issues from a theoretical or simulation perspective are sought, while demonstrations in applicative scenarios will also be welcome.

Topics for the workshop include, but are not limited to:

  • Embedded systems and smart camera networks
  • Mobile and pervasive computing
  • Artificial intelligence in resource-constrained environments and on-device machine learning;
  • Learning in multi-tier networked ecosystems
  • Perception, sensing, and smart environment monitoring;
  • Sensor fusion for environment perception;
  • Video data representation, summarization, and visualization.
  • Multi-view computer vision
  • Learning in scarce data scenarios
  • Reinforcement learning
  • Fault-tolerant decision making
  • Privacy and security aspects
  • Explainability, trustworthiness and sustainability of pervasive AI paradigms
  • Applications in:
    • Industry, smart cities and smart mobility
    • Cultural heritage and tourism
    • Healthcare

Workshop Co-Chairs

Giuseppe Riccardo Leone, Institute of Information Science and Technologies, National Research Council of Italy (CNR), Pisa, Italy
Davide Moroni, Institute of Information Science and Technologies, National Research Council of Italy (CNR), Pisa, Italy
Behçet Uğur Töreyin, Informatics Institute, Istanbul Technical University (ITU), Istanbul, Turkey
Maria Trocan, Institut Supérieur d’Électronique de Paris (ISEP), Paris, France

Program Committee

  • Ales Prochazka, University of Chemistry and Technology, Prague, Czech Republic
  • Anna Tonazzini, Institute of Information Science and Technologies, National Research Council of Italy (CNR), Pisa, Italy
  • Gabriele Pieri, Institute of Information Science and Technologies, National Research Council of Italy (CNR), Pisa, Italy
  • Gerasimos Potamianos, University of Thessaly, Greece
  • Gorkem Saygili, Tilburg University, Department of Cognitive Science and Artificial Intelligence, the Netherlands
  • Josiane Zerubia, INRIA, France
  • Maria Antonietta Pascali, Institute of Information Science and Technologies, National Research Council of Italy (CNR), Pisa, Italy
  • Marie-Colette Vanlieshout, CWI, Amsterdam, Netherlands
  • Marco Reggiannini, Institute of Information Science and Technologies, National Research Council of Italy (CNR), Pisa, Italy
  • Nahum Kiryati, Tel Aviv University, Israel
  • Rozenn Dahyot, Trinity College Dublin, Ireland
  • Sara Colantonio, Institute of Information Science and Technologies, National Research Council of Italy (CNR), Pisa, Italy
  • Shohreh Ahvar, Institut Supérieur d’Électronique de Paris (ISEP), Paris, France
  • Tamás Szirányi, MTA SZTAKI – Institute for Computer Science and Control, Hungarian Academy of Sciences, Budapest, Hungary
  • Andrea Carboni, Institute of Information Science and Technologies, National Research Council of Italy (CNR), Pisa, Italy

Contact

giuseppericcardo.leone@cnr.it
davide.moroni@isti.cnr.it
toreyin@itu.edu.tr
maria.trocan@isep.fr