Bit! Broadcast 2016

 

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)

 

                                                                                                                                                                                                                             
 
                                                                   
 
                                                                                                                                                             
 
      

 

 

Bit! Broadcast 2016

AUDIO-VISUAL TECHNOLOGY TRADE SHOW 

The Professional Audiovisual Technology Show, BIT Broadcast 2016, has set up a three-day programme with a great number of events where almost one hundred top professionals will discuss key questions for the industry, such as programmatic advertising, the entry of Telcos into the audiovisual market, new IP infrastructures, OTT services, hybrid TV, Ultra High Definition, the digital dividend or the future of radio.  

 

      

                 

 

Furthermore, a wide exhibition area accommodates a large number of stands of a variety of organizations: from the most prominent companies in the area to the most promising startups. A tour through these stands give the visitor the opportunity to discover the latest products and solutions covering the whole transmission chain: scene capturing (both professional and nonprofessional 2D, 3D and 360º cameras, virtual sets, camera control units, high fidelity audio mixing consoles…), video processing (high efficient encoders, color enhancement techniques…), video delivery (reliable IP streaming, hybrid flexible CDNs, statistics acquisition…) and presentation (4K monitors, HDR-capable TV sets, virtual reality headsets…).

Moreover, the R+D+BIT platform, driven by BIT Broadcast 2016, backs the most innovative projects under development, in both academia and industry, seeking out new technologies with high added-value and growth potential applied to the audiovisual sector. In this way, R+D+BIT acknowledges the work of professionals and organizations in the research community, whose role is essential to this sector. In this sense, the most ground-breaking projects will be presented during these sessions.   

 

 

Nokia, together with the Grupo de Tratamiento de Imágenes of UPM, has presented the TRANVIDEOADAP project. The main objective of this project is the development of a platform capable of transforming in real time existing multimedia content into the new adaptive streaming formats: HTTP Adaptive Streaming format (HLS) developed by Apple, Smooth Streaming format (MSS) released by Microsoft and the format defined by the international standard MPEG-DASH.

 

      

 

This platform will be able to ingest a content in any format and carry out the necessary on-the-fly transformations to the original media content and its associated metadata so as to be able to provide video services to any users, whichever the features and the location of their device are. So, the project TRANVIDEOADAP proposes an alternative solution for entertainment TV using a flexible architecture based on the cloud and on a smartly designed and managed Content Distribution Network (CDN).