CoPhIR (Content-based Photo Image Retrieval) Test-Collection (Risultati di valorizzazione applicativa)

Type
Label
  • CoPhIR (Content-based Photo Image Retrieval) Test-Collection (Risultati di valorizzazione applicativa) (literal)
Anno
  • 2008-01-01T00:00:00+01:00 (literal)
Alternative label
  • Fausto Rabitti, Raffaele Perego, Fabrizio Falchi, Claudio Lucchese, Paolo Bolettieri, Fabrizio Silvestri, Tommaso Piccioli (2008)
    CoPhIR (Content-based Photo Image Retrieval) Test-Collection
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Fausto Rabitti, Raffaele Perego, Fabrizio Falchi, Claudio Lucchese, Paolo Bolettieri, Fabrizio Silvestri, Tommaso Piccioli (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • We have extracted metadata from the Flickr archive, using the EGEE European GRID, through the DILIGENT project. For each image, the standard MPEG7 image feature have been extracted. Each entry of the test-bed contains: * The link to the corresponding entry into Flickr Web site * The photo image thumbnail * An XML structure with the Flickr user information in the corresponding Flickr entry: title, location, GPS, tags, comments, etc. * An XML structure with 5 extracted standard MPEG7 image features: o Scalable Colour o Colour Structure o Colour Layout o Edge Histogram o Homogeneous Texture The data collected so far represents the world largest multimedia metadata collection that is available for research on scalable similarity search techniques It actually contains 104 million images (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#proprieta
  • ISTI-CNR (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#riferimentiUtilizzatori
  • Distribuito gratuitamente alla comunità scientifica per scopi di ricerca. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • WEB Site: http://cophir.isti.cnr.it/ (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • ISTI-CNR (literal)
Titolo
  • CoPhIR (Content-based Photo Image Retrieval) Test-Collection (literal)
Descrizione sintetica
  • The CoPhIR (Content-based Photo Image Retrieval) Test-Collection has been developed to make significant tests on the scalability of the SAPIR project infrastructure (SAPIR: Search In Audio Visual Content Using Peer-to-peer IR) for similarity search. CoPhIR is now available to the research community to try and compare different indexing technologies for similarity search, with scalability being the key issue. (literal)
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