Towards Multimodal Capture, Annotation and Semantic Retrieval from Performing Arts (Contributo in atti di convegno)

Type
Label
  • Towards Multimodal Capture, Annotation and Semantic Retrieval from Performing Arts (Contributo in atti di convegno) (literal)
Anno
  • 2011-01-01T00:00:00+01:00 (literal)
Alternative label
  • Kannan, Rajkumar; Andres, Frederic; Ferri, Fernando; Grifoni, Patrizia (2011)
    Towards Multimodal Capture, Annotation and Semantic Retrieval from Performing Arts
    in First International Conference, ACC 2011, Kochi, 22-24 luglio, 2011
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Kannan, Rajkumar; Andres, Frederic; Ferri, Fernando; Grifoni, Patrizia (literal)
Pagina inizio
  • 79 (literal)
Pagina fine
  • 88 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Advances in Computing and Communications (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 193 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 193 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 10 (literal)
Note
  • Google Scholar (literal)
  • DBLP (literal)
  • ISI Web of Science (WOS) (literal)
  • Scopu (literal)
  • SCImago (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Bishop Heber Coll Autonomous (literal)
Titolo
  • Towards Multimodal Capture, Annotation and Semantic Retrieval from Performing Arts (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-3-642-22725-7 (literal)
Abstract
  • A well-annotated dance media is an essential part of a nation's identity, transcending cultural and language barriers. Many dance video archives suffer from tremendous problems concerning authoring and access, because of the multimodal nature of human communication and complex spatio-temporal relationships that exist between dancers. A multimodal dance document consists of video of dancers in space and time, their dance steps through gestures and emotions and accompanying song and music. This work presents the architecture of an annotation system capturing information directly through the use of sensors, comparing and interpreting them using a context and a user's model in order to annotate, index and access multi modal documents. (literal)
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