Key enabling technologies for media scenario experimentations

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From the use case scenarios a technical analysis is performed, in order to identify the relevant technologies needed to implement those scenarios into services to the users. Such technology “enablers “ contribute to a service platform architecture which is discussed with network experts.

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Key enabling technologies for media scenario experimentations

  1. 1. Key enabling technologies for media scenario experimentations Farid Benbadis, Thales Communications and Security, France Aalborg, Denmark, May 9th 2012 May 9th, 2012 Aalborg, Denmark FI-CONTENT
  2. 2. Objectives Fi-Content methodology Extraction and identification of the critical enablers Fi-Content specific enabler descriptions Demonstrated and prototyped enablers2 May 9th, 2012 Aalborg, Denmark FI-CONTENT
  3. 3. Methodology Use case scenarios Architecture definition Critical enabler •Games & virtual environments •List of required enablers identification •Professionally generated •Interaction between enablers •State of the art content •Generic and specific •Maturity level •UGC entertainment enablers •Relevance to the use case •High end B2B services •Integration and achievability •Edutainment & Culture gaps Architecture refinement Critical enabler validation •Use case adaptation •List of functions •Architecture update •API •Interaction between enablers •Conceptual prototype •Validation plan3 May 9th, 2012 Aalborg, Denmark FI-CONTENT
  4. 4. Critical enabler identification Fi-Content Architecture Priority criteriaFi-Content Enablers Fi-Ware Architecture Specific Enablers Critical enablers Fi-Warearchitecture Critical Enablers Priority criteria • Relevance to the use case • State of the art • Integration gap4 May 9th, 2012 Aalborg, Denmark FI-CONTENT
  5. 5. Fi-Content specific enablers 5 Content Areas nRealitymixer nScalable dynamic spatial database 29 specific enablers nRepository and metadata 12 critical enablers nRecommendation services nDevice management n2 videos, 1 demonstration nUser profile broker nRecommendation services nContent enrichment nContent enrichment platform nAd hoc sharing nAd hoc sharing nBandwidth on demand nMultimedia indexing nContentfinder and enrichment nMultimedia indexing nFederated social network6 May 9th, 2012 Aalborg, Denmark FI-CONTENT
  6. 6. Recommendation servicesnFacilitate content recommendation for usersnBased on nUsergroup constellation (community) nContext nE.g. Available devices, network connection, situation, ... nExisting user profiles nExplicit and implicitnAccess to multiple sources of metadatanReal-time capture of recommendations6 May 9th, 2012 Aalborg, Denmark FI-CONTENT
  7. 7. Recommendation services7 May 9th, 2012 Aalborg, Denmark FI-CONTENT
  8. 8. Content enrichment platform: ObjectivesnCreation of interactive video contentthatnProvides an interactive user experiencenIs clickable on object levelnLinks any mediacontent to video objectsnRuns on all major platforms and devices: nSmartTVs, Future Web, Mobiles, Tablets, etcnCan be used by professionals, communities and single users8 May 9th, 2012 Aalborg, Denmark FI-CONTENT
  9. 9. Content enrichment platform: FeaturesnMedia AnnotationnObject-based Media DiscoverynCross-Video NavigationnSocial Media SharingnLocation-and Context-Sensitive Metadata RetrievalnMedia Metadata CreationnObject Identification & Trackingncross platform content processing & enrichment9 May 9th, 2012 Aalborg, Denmark FI-CONTENT
  10. 10. Content enrichment platform10 May 9th, 2012 Aalborg, Denmark FI-CONTENT
  11. 11. Ad hoc sharing: ObjectivesnMobile networking and services for content disseminationnUser-Generated Content (UGC) between users on the move within the framework of a content provider. nCommunicate with Internet services nExchange content opportunistically Internet stakeholders PUSH PUSH PULL PULL CROWN CASTING Users on the move users at home11 May 9th, 2012 Aalborg, Denmark FI-CONTENT
  12. 12. Ad hoc sharing: ChallengesnControl over network connectivity nSwitch between infrastructure and ad-hocnLegacy networking protocols nHTTP, TCP/IPnAd hoc networking nBluetooth, Wi-Fi, Wi-Fi Direct or NFCnRouting12 May 9th, 2012 Aalborg, Denmark FI-CONTENT
  13. 13. Multimedia indexingnObjectives nInformation hidden in multimedia content nExtracting information from such content is important nMake the extracted information useful and give it sensenApplication design considerations and needs nState of the art open framework for video, audio, images and text analysis and manipulation nPossibility to create, manage and maintain multimedia content nAnalysis that includes geo/location information and user status nFlexibility to handle different languages nPresent information and results in a comprehensive way13 May 9th, 2012 Aalborg, Denmark FI-CONTENT

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