INCLUVERSO 5G

 

Research  

 

GTI Data   

 

Open databases created and software developed by the GTI and supplemental material to papers.  

 

Databases  

SportCLIP (2025): Multi-sport dataset for text-guided video summarization.
Ficosa (2024): The FNTVD dataset has been generated using the Ficosa's recording car.
MATDAT (2023):  More than 90K labeled images of martial arts tricking.
SEAW – DATASET (2022): 3 stereoscopic contents in 4K resolution at 30 fps.
UPM-GTI-Face dataset (2022): 11 different subjects captured in 4K, under 2 scenarios, and 2 face mask conditions.
LaSoDa (2022): 60 annotated images from soccer matches in five stadiums with different characteristics and light conditions.
PIROPO Database (2021):People in Indoor ROoms with Perspective and Omnidirectional cameras.
EVENT-CLASS (2021): High-quality 360-degree videos in the context of tele-education.
Parking Lot Occupancy Database (2020)
Nighttime Vehicle Detection database (NVD) (2019)
Hand gesture dataset (2019): Multi-modal Leap Motion dataset for Hand Gesture Recognition.
ViCoCoS-3D (2016): VideoConference Common Scenes in 3D.
LASIESTA database (2016): More than 20 sequences to test moving object detection and tracking algorithms.
Hand gesture database (2015): Hand-gesture database composed by high-resolution color images acquired with the Senz3D sensor.
HRRFaceD database (2014):Face database composed by high resolution images acquired with Microsoft Kinect 2 (second generation).
Lab database (2012): Set of 6 sequences to test moving object detection strategies.
Vehicle image database (2012): More than 7000 images of vehicles and roads.           

 

Software  

Empowering Computer Vision in Higher Education(2024): A Novel Tool for Enhancing Video Coding Comprehension.
Engaging students in audiovisual coding through interactive MATLAB GUIs (2024)
TOP-Former: A Multi-Agent Transformer Approach for the Team Orienteering Problem (2023)
Solving Routing Problems for Multiple Cooperative Unmanned Aerial Vehicles using Transformer Networks (2023)
Vision Transformers and Traditional Convolutional Neural Networks for Face Recognition Tasks (2023)
Faster GSAC-DNN (2023): A Deep Learning Approach to Nighttime Vehicle Detection Using a Fast Grid of Spatial Aware Classifiers.
SETForSeQ (2020): Subjective Evaluation Tool for Foreground Segmentation Quality. 
SMV Player for Oculus Rift (2016)
Bag-D3P (2016): Face recognition using depth information. 
TSLAB (2015): Tool for Semiautomatic LABeling.    

   

Supplementary material  

Soccer line mark segmentation and classification with stochastic watershed transform (2022)
A fully automatic method for segmentation of soccer playing fields (2022)
Grass band detection in soccer images for improved image registration (2022)
Evaluating the Influence of the HMD, Usability, and Fatigue in 360VR Video Quality Assessments (2020)
Automatic soccer field of play registration (2020)   
Augmented reality tool for the situational awareness improvement of UAV operators (2017)
Detection of static moving objects using multiple nonparametric background-foreground models on a Finite State Machine (2015)
Real-time nonparametric background subtraction with tracking-based foreground update (2015)  
Camera localization using trajectories and maps (2014)

 

                                                                                                                                                                                                                             
 
                                                                   
 
                                                                                                                                                             
 
      

 

 

INCLUVERSO 5G

On October 11, 2023, the INCLUVERSO 5G kick-off meeting was held at the Fundación Juan XXIII facilities. The meeting was attended by members of the Nokia team, Universidad Politécnica de Madrid and Fundación Juan XXIII.

 

INCLUVERSO 1

Rocío Pérez, María Esther Molpeceres, Álvaro Villegas, Narciso García and Pablo Pérez are responsible for the INCLUVERSO 5G project.

 

The INCLUVERSO 5G project aims at research in XR and advanced 5G telecommunications technologies that allow the creation of immersive communication experiences applied to therapy, telepresence and tele-training use cases, so that they are applicable to people in psychosocial vulnerability, as a fundamental step towards the development of a fully inclusive Metaverse or Incluverse.

The development of the project involves addressing two technological areas: firstly, designing the network and edge technology required to deploy XR services; secondly, designing and developing an extended reality system that, supported by this 5G platform, will allow providing XR services to a diverse population and, in particular, to people in psychosocially vulnerable situations.

In the area of network technology, the project will focus on advanced 5G services in the 2300-2400 MHz band for broadband mobile communications networks on a self-provisioning basis. A 5G mobile network will be deployed, in N40 band, over which immersive applications will be provided. This network will also include an edge computing platform and a service-oriented architecture that optimizes the use of network capabilities by extended reality services.

The project will also investigate the relationship between QoE and QoS offered by the network, and will investigate possible techniques to control QoS/QoE based on network slicing, prioritization, network scheduling, etc. For those network functionalities that are not available in existing 5G deployments, the Nokia FikoRE emulator will be used to emulate different network configurations. 

 

INCLUVERSO 1

 

For more information, visit the project website: http://www.incluverso-5g.es/