2nd International Workshop on PeRvasive sEnsing and muLtimedia UnDErstanding
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
Each submission should be at most 6 pages in total, including bibliography and well-marked appendices, and must follow the IEEE double columns publication format available at:
Paper submission will only be online via SITIS 2023 EasyChair submission system.
Only pdf files will be accepted. Submissions not meeting these guidelines risk rejection without consideration of their merits. All submitted papers will be carefully evaluated based on originality, significance, technical soundness, and clarity of expression by at least two reviewers and then will be checked for plagiarism and self-plagiarism by IEEE. The organizers will examine the reviews and make final paper selections.
All the papers accepted for the workshop will be included in the conference proceedings. The proceedings will be published by the IEEE Computer Society and referenced in the IEEE Xplore Digital Library, Scopus, DBLP and major indexes. The proceedings of the previous editions of SITIS are available here.
At least one author of each accepted paper must register for the workshop. The workshop registration fees are determined by the SITIS organizers. Both in-presence and remote presentations are allowed. Further details are available here. A single registration for the workshop or the conference allows attending both events.
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
Shohreh Ahvar, ISEP, France
Antonello Calabrò, Institute of Information Science and Technologies – CNR, Italy
Andrea Carboni, Institute of Information Science and Technologies – CNR, Italy
Nahum Kiryati, Tel Aviv University, Israel
Andras L. Majdik, MTA SZTAKI – Institute for Computer Science and Control, Hungarian Academy of Sciences, Hungary
Massimo Martinelli, Institute of Information Science and Technologies – CNR, Italy
Bogdan Matuszewski, University of Central lancashire, United Kingdom
Maria Antonietta Pascali, Institute of Information Science and Technologies – CNR, Italy
Gabriele Pieri, Institute of Information Science and Technologies – CNR, Italy
Marco Reggiannini, Institute of Information Science and Technologies – CNR, Italy
Emanuele Salerno, Institute of Information Science and Technologies – CNR, Italy
Anna Tonazzini, Institute of Information Science and Technologies – CNR, Italy