The evolution and the increasingly massive use of dynamic compressors in the audio post-production area has led over the years to have in the music and advertising market a real “Loudness War”, which has reverberated with negative effects in the radio and television areas, literlally without regulations and tools to control this phenomenon in the scenario in which the evolution to digital audio/video would have allowed the transmission of products with greater sound dynamics.

This project deals with the design and implementation of architecture and systems for companion screen applications.

The advent of RDF (Resource Description Framework) technology in the first half of the 2000’s, followed by RDF Schema and OWL (Web Ontology Language), represented a quantum leap in the possibility of concretely using semantic networks in the most varied applications. In the field of multimedia applications, among which we can include television production and archiving in general, they are by now an indispensable ingredient for semantic enriching and contextualisation  of content for a very wide range of purposes (from automatic documentation to content recommendations systems). This project aims at exploring in detail these possibilities by defining and implementing prototypical content semantic enrichment systems exploiting existing Knowledge Base and possibly extending/creating new domain ontologies.

RaiPlay, the new Rai multimedia portal released in 2016, is available as a browser and as an application for mobile devices and smart TVs. CRIT has overseen the software development of the TV version and interactive decoders to DVB MHP standard with gold stamp.

The Research Center contributes to the “Educating City” project, funded by MIUR, which intends to define new educational approaches, aimed at preparing a new generation of “smart” citizens, in other words more active, aware and inclusive, promoting new connections between schools , territory and society.

RAI contents are used for the training of knowledge extraction tools, among which a content classifier based on the MIUR taxonomy of the Disciplinary Scientific Sectors and a detector of references to places, people and organizations within texts derived from the component audio.

The tools developed will be available to users of the project platform to identify interesting contents with respect to their activities.