The SAPIR Project: Executing A/V Complex Queries in Peer-to-Peer Systems (Articolo in rivista)

Type
Label
  • The SAPIR Project: Executing A/V Complex Queries in Peer-to-Peer Systems (Articolo in rivista) (literal)
Anno
  • 2007-01-01T00:00:00+01:00 (literal)
Alternative label
  • Gennaro C.; Perego R.; Rabitti F. (2007)
    The SAPIR Project: Executing A/V Complex Queries in Peer-to-Peer Systems
    in ERCIM news
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Gennaro C.; Perego R.; Rabitti F. (literal)
Pagina inizio
  • 62 (literal)
Pagina fine
  • 63 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://ercim-news.ercim.org/content/view/189/348/ (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 70 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • In: Ercim news, vol. 70 pp. 62 - 63. ERCIM EEIG, 2007. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • cnr-isti (literal)
Titolo
  • The SAPIR Project: Executing A/V Complex Queries in Peer-to-Peer Systems (literal)
Abstract
  • Searching for non-text data (eg, images) is mostly done by means of metadata annotations or by extracting the text close to the data. However, supporting real content-based audio-visual search, based on similarity search on features, is significantly more expensive than searching for text. Moreover, the search exhibits linear scalability with respect to the data set size. The European project SAPIR is currently addressing this problem. (literal)
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