data used to describe audiovisual contents
Found News (5)
EBU MDN Workshop 2019
EBU Metadata Developer Network Workshop (MDN) 2019
The annual metadata workshop took place in Geneva at the headquarters of the European Broadcasting Union (EBU-UER). RAI CRITS presented three speeches related to the following topics: an approach for the creation of datasets for AI; an information model and related tools developed for the planning and execution of television productions based on the simultaneous and automated use of multiple drones; a dashboard for the integration of AI services for multimedia content analysis.
EBU MDN Workshop 2018
EBU Metadata Developer Network Workshop (MDN) 2018
The annual metadata workshop took place in Geneva at the headquarters of the European Broadcasting Union (EBU-UER). The Centre for Research and Technological Innovation participated by presenting a demonstration of an evaluation framework for Cloud-based Artificial Intelligence serivices, and the work being developed as part of the H2020 MULTIDRONE funded project.
IEEE Big Data 2017
2017 IEEE International Conference on Big Data (Big Data 2017)
Maurizio Montagnuolo presented a paper entitled “Real Time Semantic Enrichment of Broadcast Content in the Big Data Age” (Maurizio Montagnuolo, Alberto Messina, Nicolò Bidotti, Paolo Platter, Alessio Bosca) at the IEEE International Conference Big data 2017.
CRIT @ Big Data Tech 2017
RAI Research @ Big Data Tech 2017
The Center for Research and Technological Innovation has attended the 4th Big Data Tech event, which took place in Milan on 12th October. The conference deals with technology and business issues related to the Big Data universe and is sponsored by prestigious industrial brands in the industry. CRIT, in collaboration with AgileLab, presented the experimental developments of the AgileRAI platform, a system for automatic and real-time annotation of video streams.
EBU MDN Workshop 2017
CRIT at EBU Metadata Developer Network Workshop
Maurizio Montagnuolo presented the AgileRAI system, a parallel and scalable framework for real-time video analysis and semantic enrichment.