QoMEX 2025

 

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  

NaviFormer (2025): A Deep Reinforcement Learning Transformer-like Model to Holistically Solve the Navigation Problem.
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  

Viewpoint-Invariant Soccer Pitch Registration Using Geometric and Learned Features (2025)
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)

 

                                                                                                                                                                                                                             
 
                                                                   
 
                                                                                                                                                             
 
      

 

 

QoMEX 2025 

Madrid hosted the 17th edition of the International Conference on Quality of Multimedia Experience (QoMEX 2025) from September 29 to October 3, 2025. The event was organized by the Grupo de Tratamiento de imágenes (Universidad Politécnica de Madrid), Universidad Carlos III de Madrid (UC3M), and Nokia.

The conference brought together leading experts from academia and industry to discuss and share the latest advances in multimedia quality of experience (QoE), user experience (UX), and related technologies, promoting scientific excellence and multidisciplinary collaboration.

Among the highlights were the three keynote talks: Isabelle Hupont with “Rethinking QoE in the Age of AI: Ethics, Human Oversight and the Role of Regulation”; Regina Bernhaupt with “From Playful Probes to Interactive Dialogues: Reimagining Research Methods in the Age of LLMs and Digital Twins”; and Michele Zorzi with “QoE/QoS Management in Communication Networks.”

In addition, the oral and special sessions featured high-impact scientific contributions, complemented by cutting-edge technology demonstrations showcasing the most recent advances in multimedia processing, quality assessment, and user experience. The program also included a highly productive PhD Mentoring Program, fostering collaboration between senior researchers and doctoral students, and promoting meaningful knowledge exchange.

The conference opened with the AOMedia Research Workshop Europe 2025 – Toward a Collaborative Approach for Future Media, where the latest developments in codecs and multimedia processing were presented, and concluded with a unique experience organized together with the Juan XXIII Foundation, in which researchers and people with disabilities exchanged roles to rethink how user experience studies are conducted.

It was an intense week of science, collaboration, and humanity that consolidated QoMEX 2025 as an international reference in multimedia quality of experience.

Explore the full program here: https://qomex2025.itec.aau.at/program/