While media organisations increasingly support non-linear experiences for the consumer, those are still limited to single channels and media domains. Although several media organisations have recently succeeded in breaking data si...
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31/08/2025
DW
10M€
Presupuesto del proyecto: 10M€
Líder del proyecto
DEUTSCHE WELLE
No se ha especificado una descripción o un objeto social para esta compañía.
TRL
4-5
Fecha límite participación
Sin fecha límite de participación.
Financiación
concedida
El organismo HORIZON EUROPE notifico la concesión del proyecto
el día 2022-09-01
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Información proyecto XReco
Duración del proyecto: 35 meses
Fecha Inicio: 2022-09-01
Fecha Fin: 2025-08-31
Líder del proyecto
DEUTSCHE WELLE
No se ha especificado una descripción o un objeto social para esta compañía.
TRL
4-5
Presupuesto del proyecto
10M€
Fecha límite de participación
Sin fecha límite de participación.
Descripción del proyecto
While media organisations increasingly support non-linear experiences for the consumer, those are still limited to single channels and media domains. Although several media organisations have recently succeeded in breaking data silos, data sharing is mostly limited to the organisation. Thus, there are challenges for producing content feeding multiple channels with different granularities and structures, mainly related to data discovery, management and (re-)use. XRECO will create a new data-driven ecosystem for the media industry, focusing onfacilitating data sharing, search and discovery and supporting creation of news and entertainment content, in particular, the creation and (re-)use of location-related 2D and 3D assets and the creation of XR experiences. The ecosystem core, represented by a Neural Media Repository (NMR), will foster inter-organisation content sharing and provide increased access to content for media creators, considering novel data monetization and rights management policies. A set of AI-based media transformation services are built around the NMR to produce novel media- and XR experiences, including 3D neural reconstructions, neural based device localisation, image stitching, de-/re-lighting and holoportation. The developed technology will be validated in use case scenarios for (i) the news media for XR-based broadcasting and automatic and customized multitarget news publishing, and for (ii) location-based information and entertainment content, with applications in tourism and the automotive industry.