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Annotazione semantica dei video: lo stato
             della ricerca
                Thomas M. Alisi
          bettersoftware.it - 06.05.09
who am I



•   Master in Multimedia Content Design
    Board of operations - www.mmm.unifi.it
•   Media Integration and Communication Center
    Post-doc researcher - www.micc.unifi.it
•   Red Noodles S.r.l.
    founder - www.rednoodles.com




    Red Noodles S.r.l. - Via delle Gore 6/b, Firenze - +39 055 436 0011 - thomas@rednoodles.com
    MICC Università di Firenze - L.go de Gasperi 1, Firenze - +39 055 4237 408 - alisi@micc.unifi.it
Vidi Video

•   Interactive semantic video search with a large thesaurus of machine-learned
    audio-visual concepts

•   02.2007 - 01.2010 - Framework Programme 6

    •    UNIVERSITEIT VAN AMSTERDAM, NETHERLANDS

    •    INFORMATICS AND TELEMATICS INSTITUTE, GREECE

    •    INSTITUTE FOR SYSTEMS AND COMPUTER ENG., PORTUGAL

    •    UNIVERSITY OF SURREY, UK

    •    UNIVERSITA' DEGLI STUDI DI FIRENZE, ITALY

    •    COMPUTER VISION CENTER, SPAIN

    •    BEELD EN GELUID, NETHERLANDS

    •    FONDAZIONE RINASCIMENTO DIGITALE, ITALY

    •    UNIVERSITA' DI MODENA E R. EMILIA, ITALY [subcontractor]


    Red Noodles S.r.l. - Via delle Gore 6/b, Firenze - +39 055 436 0011 - thomas@rednoodles.com
    MICC Università di Firenze - L.go de Gasperi 1, Firenze - +39 055 4237 408 - alisi@micc.unifi.it
Vidi Video WP

•   1 Management
•   2 Video processing
•   3 Audio analysis
•   4 Video analysis
•   5 Learning integrated feature detectors
•   6 Technological software development
•   7 Demonstrator and applications
•   8 Data, annotation & queries
•   9 Dissemination

    Red Noodles S.r.l. - Via delle Gore 6/b, Firenze - +39 055 436 0011 - thomas@rednoodles.com
    MICC Università di Firenze - L.go de Gasperi 1, Firenze - +39 055 4237 408 - alisi@micc.unifi.it
Vidi Video WP7


•   WP7: Demonstrator and applications
    •    The objective of the work package is to study
         and develop methods, demonstrators and
         applications that allow a natural querying and
         exploration of the annotated multimedia
         content in different application fields.
•   TASK 7.1 ONTOLOGY OF QUERIES
•   TASK 7.2 MULTIMEDIA QUERY TOOL


    Red Noodles S.r.l. - Via delle Gore 6/b, Firenze - +39 055 436 0011 - thomas@rednoodles.com
    MICC Università di Firenze - L.go de Gasperi 1, Firenze - +39 055 4237 408 - alisi@micc.unifi.it
Ontology

•   The ontology structure has been created
    automatically using relations from WordNet (“is a
    kind of”, “has part”, “is part of”) and annotations
    ground-truth (“correlated to”)
•   The ontology is able to learn rules that allow to
    detect complex concepts (typically event
    concepts) .
•   Rules are coded in SWRL and learned from a
    training set. The learning method is the First Order
    Inductive Learner for Semantic Web (FOILS). The
    SWRL rules are included in the OWL ontology

    Red Noodles S.r.l. - Via delle Gore 6/b, Firenze - +39 055 436 0011 - thomas@rednoodles.com
    MICC Università di Firenze - L.go de Gasperi 1, Firenze - +39 055 4237 408 - alisi@micc.unifi.it
System

•   Different modules: core (Java Tomcat w/ Jena), NLP
    (C++ Stanford), Annotation (Flash/Flex + php),
    Query (Flex)
•   Modules are connected using HTTP POST, XML
    and SOAP web service
•   Support for multiple DOME (Dynamic Ontology
    with Multimedia Elements) ontologies and
    ontology reasoning
•   Results are in RSS 2.0 format with paging (queries
    treated as RSS feeds)

    Red Noodles S.r.l. - Via delle Gore 6/b, Firenze - +39 055 436 0011 - thomas@rednoodles.com
    MICC Università di Firenze - L.go de Gasperi 1, Firenze - +39 055 4237 408 - alisi@micc.unifi.it
Specs



•   Rich Internet Application (in Adobe Flex) based
    system, but can run also as standalone application
•   Adobe Flash Media Server video streaming
•   23 videos with approx 25.000 annotated audio-
    visual concepts (with start & end timecodes)
•   Ontologies dataflow: from XML to MPEG7 to
    OWL



    Red Noodles S.r.l. - Via delle Gore 6/b, Firenze - +39 055 436 0011 - thomas@rednoodles.com
    MICC Università di Firenze - L.go de Gasperi 1, Firenze - +39 055 4237 408 - alisi@micc.unifi.it
Requirements


Red Noodles S.r.l. - Via delle Gore 6/b, Firenze - +39 055 436 0011 - thomas@rednoodles.com
MICC Università di Firenze - L.go de Gasperi 1, Firenze - +39 055 4237 408 - alisi@micc.unifi.it
Annotation


Red Noodles S.r.l. - Via delle Gore 6/b, Firenze - +39 055 436 0011 - thomas@rednoodles.com
MICC Università di Firenze - L.go de Gasperi 1, Firenze - +39 055 4237 408 - alisi@micc.unifi.it
Query & Display


Red Noodles S.r.l. - Via delle Gore 6/b, Firenze - +39 055 436 0011 - thomas@rednoodles.com
MICC Università di Firenze - L.go de Gasperi 1, Firenze - +39 055 4237 408 - alisi@micc.unifi.it
Dissemination


Red Noodles S.r.l. - Via delle Gore 6/b, Firenze - +39 055 436 0011 - thomas@rednoodles.com
MICC Università di Firenze - L.go de Gasperi 1, Firenze - +39 055 4237 408 - alisi@micc.unifi.it
Annotazione semantica dei video: lo stato della ricerca
Annotazione semantica dei video: lo stato della ricerca

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Annotazione semantica dei video: lo stato della ricerca

  • 1. Annotazione semantica dei video: lo stato della ricerca Thomas M. Alisi bettersoftware.it - 06.05.09
  • 2. who am I • Master in Multimedia Content Design Board of operations - www.mmm.unifi.it • Media Integration and Communication Center Post-doc researcher - www.micc.unifi.it • Red Noodles S.r.l. founder - www.rednoodles.com Red Noodles S.r.l. - Via delle Gore 6/b, Firenze - +39 055 436 0011 - thomas@rednoodles.com MICC Università di Firenze - L.go de Gasperi 1, Firenze - +39 055 4237 408 - alisi@micc.unifi.it
  • 3.
  • 4. Vidi Video • Interactive semantic video search with a large thesaurus of machine-learned audio-visual concepts • 02.2007 - 01.2010 - Framework Programme 6 • UNIVERSITEIT VAN AMSTERDAM, NETHERLANDS • INFORMATICS AND TELEMATICS INSTITUTE, GREECE • INSTITUTE FOR SYSTEMS AND COMPUTER ENG., PORTUGAL • UNIVERSITY OF SURREY, UK • UNIVERSITA' DEGLI STUDI DI FIRENZE, ITALY • COMPUTER VISION CENTER, SPAIN • BEELD EN GELUID, NETHERLANDS • FONDAZIONE RINASCIMENTO DIGITALE, ITALY • UNIVERSITA' DI MODENA E R. EMILIA, ITALY [subcontractor] Red Noodles S.r.l. - Via delle Gore 6/b, Firenze - +39 055 436 0011 - thomas@rednoodles.com MICC Università di Firenze - L.go de Gasperi 1, Firenze - +39 055 4237 408 - alisi@micc.unifi.it
  • 5. Vidi Video WP • 1 Management • 2 Video processing • 3 Audio analysis • 4 Video analysis • 5 Learning integrated feature detectors • 6 Technological software development • 7 Demonstrator and applications • 8 Data, annotation & queries • 9 Dissemination Red Noodles S.r.l. - Via delle Gore 6/b, Firenze - +39 055 436 0011 - thomas@rednoodles.com MICC Università di Firenze - L.go de Gasperi 1, Firenze - +39 055 4237 408 - alisi@micc.unifi.it
  • 6. Vidi Video WP7 • WP7: Demonstrator and applications • The objective of the work package is to study and develop methods, demonstrators and applications that allow a natural querying and exploration of the annotated multimedia content in different application fields. • TASK 7.1 ONTOLOGY OF QUERIES • TASK 7.2 MULTIMEDIA QUERY TOOL Red Noodles S.r.l. - Via delle Gore 6/b, Firenze - +39 055 436 0011 - thomas@rednoodles.com MICC Università di Firenze - L.go de Gasperi 1, Firenze - +39 055 4237 408 - alisi@micc.unifi.it
  • 7. Ontology • The ontology structure has been created automatically using relations from WordNet (“is a kind of”, “has part”, “is part of”) and annotations ground-truth (“correlated to”) • The ontology is able to learn rules that allow to detect complex concepts (typically event concepts) . • Rules are coded in SWRL and learned from a training set. The learning method is the First Order Inductive Learner for Semantic Web (FOILS). The SWRL rules are included in the OWL ontology Red Noodles S.r.l. - Via delle Gore 6/b, Firenze - +39 055 436 0011 - thomas@rednoodles.com MICC Università di Firenze - L.go de Gasperi 1, Firenze - +39 055 4237 408 - alisi@micc.unifi.it
  • 8. System • Different modules: core (Java Tomcat w/ Jena), NLP (C++ Stanford), Annotation (Flash/Flex + php), Query (Flex) • Modules are connected using HTTP POST, XML and SOAP web service • Support for multiple DOME (Dynamic Ontology with Multimedia Elements) ontologies and ontology reasoning • Results are in RSS 2.0 format with paging (queries treated as RSS feeds) Red Noodles S.r.l. - Via delle Gore 6/b, Firenze - +39 055 436 0011 - thomas@rednoodles.com MICC Università di Firenze - L.go de Gasperi 1, Firenze - +39 055 4237 408 - alisi@micc.unifi.it
  • 9. Specs • Rich Internet Application (in Adobe Flex) based system, but can run also as standalone application • Adobe Flash Media Server video streaming • 23 videos with approx 25.000 annotated audio- visual concepts (with start & end timecodes) • Ontologies dataflow: from XML to MPEG7 to OWL Red Noodles S.r.l. - Via delle Gore 6/b, Firenze - +39 055 436 0011 - thomas@rednoodles.com MICC Università di Firenze - L.go de Gasperi 1, Firenze - +39 055 4237 408 - alisi@micc.unifi.it
  • 10. Requirements Red Noodles S.r.l. - Via delle Gore 6/b, Firenze - +39 055 436 0011 - thomas@rednoodles.com MICC Università di Firenze - L.go de Gasperi 1, Firenze - +39 055 4237 408 - alisi@micc.unifi.it
  • 11.
  • 12. Annotation Red Noodles S.r.l. - Via delle Gore 6/b, Firenze - +39 055 436 0011 - thomas@rednoodles.com MICC Università di Firenze - L.go de Gasperi 1, Firenze - +39 055 4237 408 - alisi@micc.unifi.it
  • 13.
  • 14.
  • 15. Query & Display Red Noodles S.r.l. - Via delle Gore 6/b, Firenze - +39 055 436 0011 - thomas@rednoodles.com MICC Università di Firenze - L.go de Gasperi 1, Firenze - +39 055 4237 408 - alisi@micc.unifi.it
  • 16.
  • 17.
  • 18.
  • 19. Dissemination Red Noodles S.r.l. - Via delle Gore 6/b, Firenze - +39 055 436 0011 - thomas@rednoodles.com MICC Università di Firenze - L.go de Gasperi 1, Firenze - +39 055 4237 408 - alisi@micc.unifi.it

Editor's Notes