Faceted content-based image retrieval (Contributo in atti di convegno)

Type

• Prodotto della ricerca (Classe)
• Contributo in atti di convegno (Classe)

Label

• Faceted content-based image retrieval (Contributo in atti di convegno) (literal)

Anno

• 2008-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1109/DEXA.2008.125 (literal)

Alternative label

• Amato G.; Meghini C. (2008)
  Faceted content-based image retrieval
  in 19th International Conference on Database and Expert Systems Application, DEXA 2008, Turin, 1-5 Sept. 2008
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Amato G.; Meghini C. (literal)

Pagina inizio

• 402 (literal)

Pagina fine

• 406 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4624750&tag=1 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note

• In: FIND 2008 - Workshop on Dynamic Taxonomies and Faceted Search (Turin, 1-5 September 2008). Proceedings, pp. 402 - 406. DEXA, 2008. (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto

• ABSTRACT: In typical content-based image retrieval systems it is not possible to navigate the image space by simultaneously applying multiple similarity criteria. The model we propose addresses this problem by representing the search for the images similar to a given image as the exploration of a lattice of (non-disjoint) image clusters, induced by a natural ordering criterion, based on similarity measures. The exploration proceeds in one of two basic ways: by querying, the user can jump to any cluster of the lattice, by specifying the criteria that the sought cluster must satisfy; by navigation: from any cluster, the user can move to a neighbor cluster, thus exploiting the ordering amongst clusters. (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• CNR-ISTI, Pisa (literal)

Titolo

• Faceted content-based image retrieval (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

• 978-0-7695-3299-8 (literal)

Abstract

• In typical content-based image retrieval systems it is not possible to navigate the image space by simultaneously applying multiple similarity criteria. The model we propose addresses this problem by representing the search for the images similar to a given image as the exploration of a lattice of (non-disjoint) image clusters, induced by a natural ordering criterion, based on similarity measures. The exploration proceeds in one of two basic ways: by querying, the user can jump to any cluster of the lattice, by specifying the criteria that the sought cluster must satisfy; by navigation: from any cluster, the user can move to a neighbor cluster, thus exploiting the ordering amongst clusters. (literal)

Prodotto di

• Digital Libraries (ICT.P08.010.002) (Modulo)
• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)

Autore CNR

• CARLO MEGHINI (Unità di personale interno)
• GIUSEPPE AMATO (Persona)

Insieme di parole chiave

• Keywords of "Faceted content-based image retrieval" (Insieme di parole chiave)

Incoming links:

Autore CNR di

• GIUSEPPE AMATO (Persona)
• CARLO MEGHINI (Unità di personale interno)

Prodotto

• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)
• Digital Libraries (ICT.P08.010.002) (Modulo)

Insieme di parole chiave di

• Keywords of "Faceted content-based image retrieval" (Insieme di parole chiave)