eXtended Reality

@inproceedings{gallina:hal-05371594,

title = {Improved RAHT-based Compression of 3D Gaussian Splats},

author = {Annalisa Gallina and Giuseppe Valenzise and Sara Baldoni and Federica Battisti},

url = {https://centralesupelec.hal.science/hal-05371594},

year  = {2025},

date = {2025-11-01},

urldate = {2025-11-01},

booktitle = {Proceedings of the Picture Coding Symposium 2025},

address = {Aachen (Aix la Chapelle), Germany},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Stefani_2025_ICCV,

title = {Understanding touch through latent spaces: can images and haptic maps reflect human perception?},

author = {Antonio Luigi Stefani and Sara Baldoni and Niccolò Bisagno and Federica Battisti and Nicola Conci and Francesco De Natale},

url = {https://openaccess.thecvf.com/content/ICCV2025W/ACVR/html/Stefani_Understanding_touch_through_latent_spaces_can_images_and_haptic_maps_ICCVW_2025_paper.html},

year  = {2025},

date = {2025-10-01},

urldate = {2025-10-01},

booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},

pages = {2445-2454},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10937457,

title = {Movement- and Traffic-based User Identification in Commercial Virtual Reality Applications: Threats and Opportunities},

author = {Sara Baldoni and Salim Benhamadi and Federico Chiariotti and Michele Zorzi and Federica Battisti},

doi = {10.1109/VR59515.2025.00032},

year  = {2025},

date = {2025-01-01},

urldate = {2025-01-01},

booktitle = {2025 IEEE Conference Virtual Reality and 3D User Interfaces (VR)},

pages = {72-81},

abstract = {With the unprecedented diffusion of virtual reality, the number of application scenarios is continuously growing. As commercial and gaming applications become pervasive, the need for the secure and convenient identification of users, often overlooked by the research in immersive media, is becoming more and more pressing. Networked scenarios such as Cloud gaming or cooperative virtual training and teleoperation require both a user-friendly and streamlined experience and user privacy and security. In this work, we investigate the possibility of identifying users from their movement patterns and data traffic traces while playing four commercial games, using a publicly available dataset. If, on the one hand, this paves the way for easy identification and automatic customization of the virtual reality content, it also represents a serious threat to users’ privacy due to network analysis-based fingerprinting. Based on this, we analyze the threats and opportunities for virtual reality users’ security and privacy.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{wahba2025sphereganganbasedapproachsaliency,

title = {Sphere-GAN: a GAN-based Approach for Saliency Estimation in 360deg Videos},

author = {Mahmoud Z. A. Wahba and Sara Baldoni and Federica Battisti},

url = {https://arxiv.org/abs/2509.11948},

year  = {2025},

date = {2025-01-01},

urldate = {2025-01-01},

note = {To appear in the proceedings of IEEE MMSP 2025},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1145/3746269.3760422,

title = {Perceptual Quality Assessment of Spatial Videos on Apple Vision Pro},

author = {Afshin Gholami and Sara Baldoni and Federica Battisti and Wei Zhou and Christian Timmerer and Hadi Amirpour},

url = {https://doi.org/10.1145/3746269.3760422},

doi = {10.1145/3746269.3760422},

isbn = {9798400720512},

year  = {2025},

date = {2025-01-01},

urldate = {2025-01-01},

pages = {20–28},

publisher = {Association for Computing Machinery},

address = {Ireland},

series = {IXR '25},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{11219903,

title = {Analysis of Objective 3D Mesh Quality Metrics for Cultural Heritage},

author = {Anna Ferrarotti and Isabel Rodríguez and Javier Usón and Sara Baldoni and Jesús Gutiérrez and Daniel Berjón and Francisco Morán and Federica Battisti and Narciso García and Marco Carli and Julián Cabrera},

doi = {10.1109/QoMEX65720.2025.11219903},

year  = {2025},

date = {2025-01-01},

urldate = {2025-01-01},

booktitle = {2025 17th International Conference on Quality of Multimedia Experience (QoMEX)},

pages = {1-4},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10598293,

title = {On the identification of the leading sensory cue in mulsemedia VR applications},

author = {Anna Ferrarotti and Sara Baldoni and Marco Carli and Federica Battisti},

doi = {10.1109/QoMEX61742.2024.10598293},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

booktitle = {2024 16th International Conference on Quality of Multimedia Experience (QoMEX)},

pages = {36-42},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1145/3639701.3661089,

title = {Interaction goes virtual: towards collaborative XR},

author = {Anna Ferrarotti and Sara Baldoni and Marco Carli and Federica Battisti},

url = {https://doi.org/10.1145/3639701.3661089},

doi = {10.1145/3639701.3661089},

isbn = {9798400705038},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

booktitle = {Proceedings of the 2024 ACM International Conference on Interactive Media Experiences},

pages = {443–446},

publisher = {Association for Computing Machinery},

address = {Stockholm, Sweden},

series = {IMX '24},

abstract = {This demo presents an interactive communication system based on immersive media for analyzing the users’ Quality of Experience in collaborative tasks. The interaction between users is studied in an asymmetric scenario where a peer-to-peer communication has been set up between a PC and a Virtual Reality headset. Two application scenarios have been considered: a Block Building task and a Treasure Hunt game. The two users will cooperate to perform the two tasks. The goal is to study the relation between the type of transmitted information (i.e., audio and video or audio only) and the quality and quantity of interaction. During the demo, participants will have the opportunity to try one of the designed applications.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10733604,

title = {Quality of Experience for immersive media: from content creation to rendering},

author = {Sara Baldoni},

doi = {10.1109/ISCC61673.2024.10733604},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

booktitle = {2024 IEEE Symposium on Computers and Communications (ISCC)},

pages = {1-6},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10849794,

title = {Characterizing the Geometric Complexity of G-PCC Compressed Point Clouds},

author = {Annalisa Gallina and Hadi Amirpour and Sara Baldoni and Giuseppe Valenzise and Federica Battisti},

doi = {10.1109/VCIP63160.2024.10849794},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

booktitle = {2024 IEEE International Conference on Visual Communications and Image Processing (VCIP)},

pages = {1-5},

abstract = {Measuring the complexity of visual content is crucial in various applications, such as selecting sources to test processing algorithms, designing subjective studies, and efficiently determining the appropriate encoding parameters and bandwidth allocation for streaming. While spatial and temporal complexity measures exist for 2D videos, a geometric complexity measure for 3D content is still lacking. In this paper, we present the first study to characterize the geometric complexity of 3D point clouds. Inspired by existing complexity measures, we propose several compression-based definitions of geometric complexity derived from the rate-distortion curves obtained by compressing a dataset of point clouds using G-PCC. Additionally, we introduce density-based and geometry-based descriptors to predict complexity. Our initial results show that even simple density measures can accurately predict the geometric complexity of point clouds.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{baldoni2024questset,

title = {Questset: A VR Dataset for Network and Quality of Experience Studies},

author = {Sara Baldoni and Federica Battisti and Federico Chiariotti and Fabio Mistrorigo and Alfi Baqiatus Shofi and Paolo Testolina and Alessandro Traspadini and Andrea Zanella and Michele Zorzi},

url = {https://dl.acm.org/doi/abs/10.1145/3625468.3652187},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

booktitle = {Proceedings of the 15th ACM Multimedia Systems Conference},

pages = {408–414},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Camuffo2022a,

title = {Deep 3D Model Optimization for Immersive and Interactive Applications},

author = {Elena Camuffo and Federica Battisti and Francesco Pham and Simone Milani},

url = {https://ieeexplore.ieee.org/abstract/document/9922742},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

booktitle = {2022 10th European Workshop on Visual Information Processing (EUVIP)},

pages = {1--6},

organization = {IEEE},

abstract = {The growing diffusion of immersive and interactive applications is posing new challenges in the multimedia processing chain. When dealing with AR and VR applications, the most relevant aspects to consider are the (1) quality of the visualized 3D objects and (2) the fluidity in the visualization in case the user is moving in the environment. In this framework, we propose a deep learning based approach that estimates the optimal model parameters to be used in relation to the viewer’s movement and the model characteristics and quality. The performed tests show the effectiveness of the proposed approach.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Capraro2019,

title = {Rendering-aware point cloud coding for mixed reality devices},

author = {Fabio Capraro and Simone Milani},

year  = {2019},

date = {2019-01-01},

urldate = {2019-01-01},

booktitle = {2019 IEEE International Conference on Image Processing (ICIP)},

pages = {3706--3710},

organization = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}