ICCE 2019

 

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)

 

                                                                                                                                                                                                                             
 
                                                                   
 
                                                                                                                                                             
 
      

 

 

The IEEE International Conference on Consumer Electronics (ICCE 2019)

The IEEE International Conference on Consumer Electronics (ICCE 2019) is the annual flagship conference of the IEEE Consumer Electronics (CE) Society. ICCE 2019, held in Las Vegas from the 11th till the 13th of January 2019, is the established forum for innovative research in all areas of consumer electronics and is co-located with the CTA’s Consumer Electronics Show (CES), which is the world’s largest consumer electronics trade-conference.

Video-related technical tracks of ICCE 2019 covered:

- Audio, Video, and Cameras.
- Entertainment, Gaming, and Virtual and Augmented Reality.
- VR Display and Human Interface Technologies.
- Machine learning, Deep learning and AI in Consumer Electronics.
- Deep Learning & Perception on Conventional and Emerging Platforms.

Among the techniques presented for immersive experiences, Narciso García, member of the Grupo de Tratamiento de Imágenes of the UPM, presented the contribution "App for session monitoring and subjective quality assessment of 2D and 360VR video in real time". This work presents an app to both monitor the session activity and conduct subjective quality tests of both 2D and 360VR content transmitted through adaptive bitrate streaming techniques in real time in an unsupervised, highly-configurable, minimum-intrusive, integrated fashion. Users carry out the tests within the app environment, thus fostering immersiveness and engagement. Furthermore, monitoring and test results are collected and stored in a cloud database for subsequent analysis. It has been done within projects IVME and MOVISE in collaboration with Nokia Bell Labs.

The authors and affiliations are as follows: Javier Escobar, César Díaz, Fernando Jaureguizar, and Narciso García (Grupo de Tratamiento de Imágenes, ETSI Telecomunicación, Universidad Politécnica de Madrid), and Pablo Pérez (Nokia Bell Labs).

2019 01 11 09.05.25