Professor Lea Skorin-Kapov at GTI

 

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)

 

                                                                                                                                                                                                                             
 
                                                                   
 
                                                                                                                                                             
 
      

 

 

Talk on User Experience (UX) and Quality of Experience (QoE) by Professor Lea Skorin-Kapov at ETSIT

 

On Thursday, November 14th, the Grupo de Tratamiento de Imágenes (GTI) had the honor of hosting Professor Lea Skorin-Kapov from the University of Zagreb for an insightful talk on the challenges and opportunities in User Experience (UX) and Quality of Experience (QoE) for emerging multimedia applications. The event took place at Escuela Técnica Superior de Ingenieros de Telecomunicación in room B-221 at 12:00 PM.

 

 

During the session, Professor Skorin-Kapov, an internationally recognized expert in multimedia quality, delved into key aspects of evaluating and optimizing QoE in multimedia services. Attendees had the opportunity to explore:

- The current challenges in evaluating and optimizing QoE in multimedia services.

- The importance of a multidisciplinary approach that combines engineering, psychology, cognitive science, and Human-Computer Interaction (HCI).

- Strategies for managing and optimizing quality from both the application and network perspectives.

- A glimpse into the future of Collaborative Extended Reality (XR) and immersive experiences that blend the digital and physical worlds.

In her talk, Professor Skorin-Kapov also shared innovative perspectives on the future of multimedia, offering cutting-edge strategies to tackle challenges that will arise with the growth of immersive applications.

The event provided a valuable opportunity for researchers, students, and professionals in the field to learn from one of the leading figures in UX and QoE, while exploring how the next generation of digital experiences will be shaped through technological innovation.

We would like to extend our heartfelt thanks to Professor Lea Skorin-Kapov for her valuable contribution and for sharing her expertise with us. We also appreciate all the attendees who made this event a success.