Summary
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 on
facilitating 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.
facilitating 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.
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More information & hyperlinks
Web resources: | https://cordis.europa.eu/project/id/101070250 |
Start date: | 01-09-2022 |
End date: | 31-08-2025 |
Total budget - Public funding: | 10 368 184,34 Euro - 8 331 200,00 Euro |
Cordis data
Original description
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.
Status
SIGNEDCall topic
HORIZON-CL4-2021-HUMAN-01-06Update Date
09-02-2023
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