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Utilizing Semantics in the
Production of iTV Shows
European Semantic Web Conference (ESWC 2009)
Demonstration paper

Georg Güntner, Dietmar Glachs, Rupert Westenthaler
Salzburg Research Forschungsgesellschaft m.b.H.

Date:      03/06/2009
Location: Hersonissos, Greece
Presenter: Georg Güntner
Ingredients of the Demo
      •     Starting point: Imagine a mass media    •   Implementation
            event with                                   –   Development of a real-time production
              –    23.000 athletes                           support system
              –    14.000 officials                      –   “Intelligent Media Framework” based
              –    6.500 events                              on semantic concepts deals with
                                                               •   aggregation
              –    1.100 teams
                                                               •   storage
              –    12 parallel video                           •   propagation
                   live feeds                                  •   filtering
              –    200 archival clips                          •   visualisation
      •     The vision: The production of a                  of contextual information
              –    real-time                             –   Annotation, detection and
              –    non-linear                                extraction of “knowledge”
              –    interactive                           –   Recommendation and
              –    multi-channel (5 channels)                personalisation
            video show in broadcasting quality      •   Performance indicators (field trial)
                                                         –   3 x 2 x 5 x 5h = 150h of material
                                                         –   110.000 action messages sent
                                                         –   18.000 terms in 65 vocabularies
                                                         –   100.000 activities detected and stored
                                                         –   18.000 knowledge items created

     (c) LIVE Consortium, 2009 (www.ist-live.org)                    02 June 2009                 2
Scientific and Technological Challenges
      • Development of an intelligent content model
              – Understanding of the LIVE domain (broadcasting, events, staging,
                sports, …)
                                                                                    Subject Matter           Professional

              – Research on knowledge and                                           Annotation                   User

                                                                                                                     conceives
                information requirements of the                                      Information
                                                                                                       interprets

                                                                                                        expresses
                                                                                                                            Propositional

                LIVE staging process.                                  contains
                                                                                         Item                                Description

                                                                                                                             subclass of
                                                         Intelligent                   realises

              – Foundational grounding for              Media Asset
                                                                       contains
                                                                                       Content
                                                                                                     about
                                                                                                                Content
                                                                                                                                       Classification

                                                                                        Item                   Description
                interactions between content                                        Content
                                                                                                                    • NewsML
                                                                                                                    • MPEG 7
                                                                                                                                        Structured
                                                                                                                                       Classification


                and knowledge                                                       Annotation                                               Event
                                                                                                                                            Situation

                                                                                                                                            Staging
                                                                                                                                            Situation


      • Development of an intelligent media framework
              –    Understand standards of the domains (MPEG-7, NewsML, IPTC, …)
              –    Information integration for internal and external information sources
              –    Storage of and access to intelligent content objects
              –    Support the real-time character of the LIVE staging environment

     (c) LIVE Consortium, 2009 (www.ist-live.org)                                 02 June 2009                                                          3
The Knowledge Model




                                                 Term model                                                                 Activity model
                                                 Extension of SKOS
                                                                                                                            Part of the event domain model

                                    attitude
                          Role                         Task
                                    towards


           Individual
                          plays                 sequenced by
                                                                           Course
            acted by

                          Agent     performs          Activity                            Design
                                                                   sequenced by
       acts for
                                                       proper part
        Social-             member of
      Individual                        participate                                 satisfies
                   subclass of
                                                           Event
                          Group
                                                                 setting for
                                                                               Event
                                                                               Setting
      Event domain model                                                                           Intelligent content model (media assets)
      Based on the participation and the agent-activity pattern                                    Based on the information object design pattern
    (c) LIVE Consortium, 2009 (www.ist-live.org)                                                                      02 June 2009                      4
The LIVE Production Support Toolset




       Staging console support
       Feedback analysis
       Recommender tool
       Human annotation tool system
       LIVE production
     (c) LIVE Consortium, 2009 (www.ist-live.org)   02 June 2009   5
LIVE Staging of Media Events



                                          Follow us into the era of semantically
                                          enhanced interactive TV production.




                                                            See you soon
                                                    in the demo session!
     (c) LIVE Consortium, 2009 (www.ist-live.org)                 02 June 2009     6
Contact
      • Further information
              – Web site: www.ist-live.org (see D7.4 for a reference to the IMF)
              – Showcase website (soon): www.ist-live.org/showcase
              – info@ist-live.org


      • Presenters:
              – Georg Güntner
                   georg.guentner@salzburgresearch.at
              – Dietmar Glachs                               Salzburg Research
                   dietmar.glachs@salzburgresearch.at        Jakob Haringer Strasse 5/3
              – Rupert Westenthaler                          A-5020 Salzburg
                   rupert.westenthaler@salzburgresearch.at   Austria
                                                             www.salzburgresearch.at




     (c) LIVE Consortium, 2009 (www.ist-live.org)              02 June 2009               7

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Utilizing Semantics in the Production of iTV Shows (ESWC 2009)

  • 1. Utilizing Semantics in the Production of iTV Shows European Semantic Web Conference (ESWC 2009) Demonstration paper Georg Güntner, Dietmar Glachs, Rupert Westenthaler Salzburg Research Forschungsgesellschaft m.b.H. Date: 03/06/2009 Location: Hersonissos, Greece Presenter: Georg Güntner
  • 2. Ingredients of the Demo • Starting point: Imagine a mass media • Implementation event with – Development of a real-time production – 23.000 athletes support system – 14.000 officials – “Intelligent Media Framework” based – 6.500 events on semantic concepts deals with • aggregation – 1.100 teams • storage – 12 parallel video • propagation live feeds • filtering – 200 archival clips • visualisation • The vision: The production of a of contextual information – real-time – Annotation, detection and – non-linear extraction of “knowledge” – interactive – Recommendation and – multi-channel (5 channels) personalisation video show in broadcasting quality • Performance indicators (field trial) – 3 x 2 x 5 x 5h = 150h of material – 110.000 action messages sent – 18.000 terms in 65 vocabularies – 100.000 activities detected and stored – 18.000 knowledge items created (c) LIVE Consortium, 2009 (www.ist-live.org) 02 June 2009 2
  • 3. Scientific and Technological Challenges • Development of an intelligent content model – Understanding of the LIVE domain (broadcasting, events, staging, sports, …) Subject Matter Professional – Research on knowledge and Annotation User conceives information requirements of the Information interprets expresses Propositional LIVE staging process. contains Item Description subclass of Intelligent realises – Foundational grounding for Media Asset contains Content about Content Classification Item Description interactions between content Content • NewsML • MPEG 7 Structured Classification and knowledge Annotation Event Situation Staging Situation • Development of an intelligent media framework – Understand standards of the domains (MPEG-7, NewsML, IPTC, …) – Information integration for internal and external information sources – Storage of and access to intelligent content objects – Support the real-time character of the LIVE staging environment (c) LIVE Consortium, 2009 (www.ist-live.org) 02 June 2009 3
  • 4. The Knowledge Model Term model Activity model Extension of SKOS Part of the event domain model attitude Role Task towards Individual plays sequenced by Course acted by Agent performs Activity Design sequenced by acts for proper part Social- member of Individual participate satisfies subclass of Event Group setting for Event Setting Event domain model Intelligent content model (media assets) Based on the participation and the agent-activity pattern Based on the information object design pattern (c) LIVE Consortium, 2009 (www.ist-live.org) 02 June 2009 4
  • 5. The LIVE Production Support Toolset Staging console support Feedback analysis Recommender tool Human annotation tool system LIVE production (c) LIVE Consortium, 2009 (www.ist-live.org) 02 June 2009 5
  • 6. LIVE Staging of Media Events Follow us into the era of semantically enhanced interactive TV production. See you soon in the demo session! (c) LIVE Consortium, 2009 (www.ist-live.org) 02 June 2009 6
  • 7. Contact • Further information – Web site: www.ist-live.org (see D7.4 for a reference to the IMF) – Showcase website (soon): www.ist-live.org/showcase – info@ist-live.org • Presenters: – Georg Güntner georg.guentner@salzburgresearch.at – Dietmar Glachs Salzburg Research dietmar.glachs@salzburgresearch.at Jakob Haringer Strasse 5/3 – Rupert Westenthaler A-5020 Salzburg rupert.westenthaler@salzburgresearch.at Austria www.salzburgresearch.at (c) LIVE Consortium, 2009 (www.ist-live.org) 02 June 2009 7