EBU VR WORKSHOP AT CROSS VIDEO DAYS 2017

 

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)

 

                                                                                                                                                                                                                             
 
                                                                   
 
                                                                                                                                                             
 
      

 

 

EBU VR WORKSHOP AT CROSS VIDEO DAYS 2017 

2nd - 4th  Oct 2017 

Cross Video Days is a unique marketplace where innovative tech-enabled content and studios can be pitched, scouted and financed. The event has been supported by the Creative Europe programme since 2013.

The EBU will contribute to this year's event in Paris through VR presentations, a panel discussion about the use of VR by public broadcasters and encounters between EBU Members and independent VR producers.

Delegates will have the opportunity to exchange experiences and learn about the latest in 360 degree, VR and AR production from public broadcasters, including an EBU-hosted workshop on the second day of the conference (20 October). More info

Video Quality Experts Group (VQEG)

VQEG brings international experts on video quality assessment to work together. From industry, academia, government organizations, ITU and other Standard-Developing Organizations, etc. Its motivation is to advance the field of video quality assessment by investigating new and advanced subjective and objective methods for assessing quality.

VQEG Inmersive Media Group

- Jesús Gutierrez (LS2N, Université de Nantes)

- Pablo Pérez (Nokia Bell Labs )

- Narciso García (GTI, Universidad Politécnica de Madrid)

Its mission is the quality assessment of immersive media, including virtual reality, augmented reality, stereoscopic 3DTV, multiview, free navigation, light field technology, etc.

It has a principle goal: “Baseline quality assessment of today’s systems”:

- Provide guidelines for subjective assessment:

Methodologies (what to measure and how to measure), test environment setup, requirments for participants,

- Support the development of objective metrics and visual models:

Provide annotated datasets and support the performance evaluation.

- Define use cases:

Technical elements: representation, encoding, transmission, displays.

Quality factors: audiovisual quality, depth perception, discomfort, immersiveness, engagement,…

Example of Quality assessment for 360 content: Adaptive streaming of 360 content (UPM)