
RAI
16 Projects, page 1 of 4
Open Access Mandate for Publications assignment_turned_in Project2017 - 2019Partners:University of Bristol, Aristotle University of Thessaloniki, ALERION, BBC, RAI +4 partnersUniversity of Bristol,Aristotle University of Thessaloniki,ALERION,BBC,RAI,Thalgo (France),University of Seville,IST ID,DWFunder: European Commission Project Code: 731667Overall Budget: 5,306,540 EURFunder Contribution: 5,306,540 EURMULTIDRONE aims to develop an innovative, intelligent, multi-drone platform for media production to cover outdoor events, which are typically held over wide areas (at stadium/city level). The 4-10 drone team, to be managed by the production director and crew, will have: a) increased decisional autonomy, by minimizing production crew load and interventions and b) improved robustness, security and safety mechanisms (e.g., embedded flight regulation compliance, enhanced crowd avoidance, autonomous emergency landing, communications security), enabling it to carry out its mission even against adverse conditions or crew inaction and to handle emergencies. Such robustness is particularly important, as the drone team has to operate close to crowds and may face an unexpected course of events and/or environmental hazards. Therefore, it must be contextually aware and adaptive with improved perception of crowds, individual people and other hazards. As this multi-actor system will be heterogeneous, consisting of multiple drones and the production crew, serious human-in-the-loop issues will be addressed to avoid operator overload, with the goal of maximizing shooting creativity and productivity, whilst minimizing production costs. Overall, MULTIDRONE will boost research on multiple-actor systems by proposing novel multiple-actor functionalities and performance metrics. Furthermore, the overall multidrone system will be built to serve identified end user needs. Specifically, innovative, safe and fast multidrone audiovisual shooting will provide a novel multidrone cinematographic shooting genre and new media production techniques that will have a large impact on the financially important EU broadcasting/media industry. It will boost production creativity by allowing the creation of rich/novel media output formats, improving event coverage, adapting to event dynamics and offering rapid reaction speed to unexpected events.
more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2020 - 2024Partners:University of Trento, FHG, Aristotle University of Thessaloniki, IRCAM, BSC +26 partnersUniversity of Trento,FHG,Aristotle University of Thessaloniki,IRCAM,BSC,ATC,KUL,University of Florence,GRASSROOTS ARTS AND RESEARCH UG (HAFTUNGSBESCHRANKT),IMAGGA TEHNOLADZHIS,CEA,University of Bucharest,UNIVERSITE COTE D'AZUR,University of Malta,RAI,INTERDIGITAL R&D FRANCE,Joanneum Research,QMUL,IBM (United States),LOBA,VRT,CNR,CERTH,DW,IBM (Ireland),UvA,Institut de recherche Idiap,MODL.AI APS,HES-SO,F6S IE,BEELD EN GELUIDFunder: European Commission Project Code: 951911Overall Budget: 11,999,700 EURFunder Contribution: 11,999,700 EURMotivated by the challenges, risks and opportunities that the wide use of AI brings to media, society and politics, AI4Media aspires to become a centre of excellence and a wide network of researchers across Europe and beyond, with a focus on delivering the next generation of core AI advances to serve the key sector of Media, to make sure that the European values of ethical and trustworthy AI are embedded in future AI deployments, and to reimagine AI as a crucial beneficial enabling technology in the service of Society and Media. The AI4Media consortium, comprising 30 leading partners in the areas of AI and media (9 universities, 9 research centres, 12 industrial partners) and 35 associate members, will establish the networking infrastructure to bring together the currently fragmented European AI landscape in the field of media, and foster deeper and long-running interactions between academia and industry, including Digital Innovation Hubs. It will also shape a research agenda for media AI research, and implement research and innovation both with respect to cutting-edge technologies at the core of AI research, and within specific fields of media-related AI. AI4Media will provide a targeted funding framework through open calls, to speed up the uptake of innovations developed within the network. A PhD programme will further enhance links to the industry and the fostering and exchange of talent, while providing motivation to prevent brain drain, and a set of use cases will be developed by the network to demonstrate the impact of the achieved advances in the media sector. The Excellence Centre that is established during the AI4Media project, and the ecosystem that will grow around it, will provide a long-term basis for the support of AI excellence in Europe, long after the project end, with the aim of ensuring that Ethical AI guided by European values assumes a global leading role in the field of Media.
more_vert assignment_turned_in Project2010 - 2013Partners:ORANGE SA, ENGINEERING - INGEGNERIA INFORMATICA SPA, SNIA Europe, Siemens (Germany), ICCS +10 partnersORANGE SA,ENGINEERING - INGEGNERIA INFORMATICA SPA,SNIA Europe,Siemens (Germany),ICCS,UNIME,RAI,Telefonica Research and Development,SICS,IBM ISRAEL,DW,iTricity,Umeå University,SAP AG,TELENOR ASAFunder: European Commission Project Code: 257019more_vert assignment_turned_in Project2013 - 2014Partners:EURIX, University of Southampton, KCL, CNR, BBC +10 partnersEURIX,University of Southampton,KCL,CNR,BBC,DFI,MOVING MEDIA LIMITED,INA,TATE,LUCE,RAI,LUCE,Joanneum Research,TV 2 DENMARK AS,BEELD EN GELUIDFunder: European Commission Project Code: 600845more_vert - FHG,playence,KUL,PLY,FBK,DTO,RAI,Joanneum Research,EBU,VRT,IRTFunder: European Commission Project Code: 287532
more_vert
chevron_left - 1
- 2
- 3
- 4
chevron_right