The concept of a virtual world has been around for many years but only recently, with the maturity in display and wearable technologies, with the increase of bandwidth and in-network computational capability, and with the development of artificial intelligence, the Metaverse and other hyper-realistic fully immersive communication systems have been able to grow, paving the way to new scientific and business opportunities. To fully unleash this potential there is the need to tackle fundamental research to assure that the deployed services reach the expected quality of experience, allowing for empathic communications, providing real feel of presence, ensuring the expected content and user authenticity, thanks also to the full power of future network architectures.
Architecture and functionalities of human digital twins to support the deployment and management of the relevant multi-sense communications by monitoring and modeling the user in terms of emotions, experiences, locations, environment, preferences and actions.
New sensors for novel foreseen interactions and to capture emotions, through brain-computer Interfaces, which require revisiting traditional low level processing and interaction with VRs, ARs, XRs.
Innovative solutions to deliver experience-aware services by exploiting all the available resources in the continuum from the device to the cloud and protect all the highly sensitive information.
Innovative media formats and descriptions that exploit AI by defining extended and more compact representation with embedded recoverable semantics.
The workshop is open to all participants for both attendance and presentations. It will leverage the critical mass of the FUN-Media project. FUN-Media is one of the core projects of RESTART (“RESearch and innovation on future Telecommunications systems and networks, to make Italy more smart”) - an initiative funded under the NextGeneration EU framework representing the largest R&D program ever funded in italy in the domain of telecommunications and signal processing. FUN-Media specifically addresses immersive media communications over networks and will provide a bulk of research material to be presented as well as attendees.
Researchers interested in presenting their work during the workshop are invited to submit a one-page abstract to the organizers vie email. The abstracts will not be published in the Eusipco 2025 proceedings.
The deadline is May 31st 2025.
The authors will be notified about the acceptance by June 30th 2025.
The duration of the workshop will be 4 hours. A tentative schedule is presented below.
13:30-15:30
Plenary talk 1
João Ascenso (IST, Portugal)
"JPEG AI: A Learning-Based Standard for Next-Generation Image Compression"
Oral session 1 (presentations 15 min + 3 min Q&A)
P. Gomes, W. Brescia, S. Mascolo, L. Toni, L. De Cicco (Politecnico di Bari)
“Leveraging Graph Transformers for denoising indoor millimeter-wave point clouds”
Rocco Albano, Filippo Battaglia, Alessandro Gnutti, Emanuele Maiorana, Fabrizio Guerrini, Giuseppe Campobello, Pierangelo Migliorati, Patrizio Campisi (University of Brescia, University of Messina, University Roma3)
“Towards Secure Biometrics for Metaverse and Human Digital Twins: Leveraging AI and Compression for Enhanced Efficiency and Privacy”
P. Zanuttigh (University of Padova)
“Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather”
15:30-15:50
Coffee break
15:50-17:50
Plenary talk 2
Maria Martini (Kingston University London, UK)
“Human-centred immersive environments – technologies and applications”
Oral session 2 (presentations 15 min + 3 min Q&A)
G. Martinelli, N. Conci (University of Trento)
“Digital Human Creation: Motion, Rendering, and Validation”
Gülnaziye Bingöl, Simone Porcu, Alessandro Floris, Luigi Atzori (University of Cagliari)
"QoE in Multi-user Collaborative Virtual Reality Games: Impact of Network and Avatar Quality"
Salvatore Serrano, Luca Patanè, Marco Scarpa, Marica Amadeo, Giulia Esposito, Silvia Carbone, Carmela Mento (University of Messina)
"AI4SER-SC: An Italian Speech Corpus for Emotion Recognition"
Concetta Cantone, Gulnaziye Bingol, Matteo Fasa, Nicola Conci, Alessandro Floris, Giulia Martinelli, Marina Samarotto, Salvatore Serrano, Luigi Atzori (Xenia Progetti, Univ. Trento, Univ. Messina, Univ. Cagliari)
“MEET: The Music Event Emotion Tracking Metaverse”
Note: all participants are expected to have a valid registration in order to attend the workshop.
The registration process can be done at the following link: https://eusipco2025.org/registration/
Instituto Superior Técnico, Lisbon, Portugal
João Ascenso is a professor at the department of Electrical and Computer Engineering of Instituto Superior Técnico and is with the Multimedia Signal Processing Group of Instituto de Telecomunicações, Lisbon, Portugal. He received the Ph.D in Electrical and Computer Engineering from Instituto Superior Técnico in 2010. In the past, he was an adjunct professor in Instituto Superior de Engenharia de Lisboa and Instituto Politécnico de Setúbal. He coordinates the IT participation in several national and international research projects, in the areas of coding, analysis and description of video. The last project grants received were in the field of point cloud coding and quality assessment. He is also very active in the ISO/IEC MPEG and JPEG standardization activities and currently chairs the JPEG AI ad-hoc group that targets the evaluation and development of learning-based image compression. He has published more than 100 papers in international conference and journals and has more than 3400 citations over 35 papers (h-index of 26). He is an associate editor of IEEE Transactions on Multimedia, IEEE Transactions on Image Processing and was an associate editor of the IEEE Signal Processing Letters. He acts as member of the Organizing Committees of well-known international conferences, such as IEEE ICME 2020, IEEE MMSP 2020, IEEE ISM 2020, among others; he has given several invited talks at conferences and workshops. His current research interests include visual coding, quality assessment, light-fields, point clouds and holography processing, indexing and searching of multimedia content and visual sensor networks.
Kingston University,
Kingston, United Kingdom
Maria Martini is Professor in the Faculty of Science, Engineering and Computing at Kingston University, and she leads the Wireless Multimedia Networking Research Group and is MSc Field Leader. She received the Ph.D. in Electronics and Computer Science from the University of Bologna (Italy) in 2002. She is a Fellow of the Higher Education Academy. She has led the KU team in national and international research projects, funded by the European Commission (e.g., OPTIMIX, CONCERTO, QoE-NET, Qualinet), UK research councils (e.g., EPSRC, British Council, Royal Society), Innovate UK, and international industries. IEEE Senior Member (since 2007), Associate Editor for IEEE Signal Processing Magazine (2018-2021) and IEEE Transactions on Multimedia (2014-2018), she was lead guest editor for the IEEE JSAC special issue on "QoE-aware wireless multimedia systems".
Expert Evaluator and Panel Member for the European Commission and national research councils (e.g. EPSRC and MRC in the UK), she was lead editor (2008-2010) of the Strategic Applications Agenda on mobile health and inclusion applications in the e-Mobility European Technology Platform. She is part of the NetWorld2020 ETP Expert Group, Board member of the Video Quality Expert Group (VQEG) and member of the IEEE Multimedia Communications technical committee. Her research interests include wireless multimedia networks, video quality assessment, decision theory, machine learning, and medical applications. She authored about 200 international scientific articles and book sections, international patents and contributions to international standards (IEEE and ITU). She is named in the Stanford University list of the world's top 2% scientists.
Luigi Atzori, Full Professor, University of Cagliari, l.atzori@unica.it
Luca De Cicco, Associate Professor, Politecnico di Bari, luca.decicco@poliba.it
Enrico Magli, Full Professor, Politecnico di Torino (Italy), enrico.magli@polito.it
Simone Milani, Associate Professor, University of Padova, simone.milani@unipd.it