Large scale image retrieval using vector of locally aggregated descriptors (Contributo in atti di convegno)

Type

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

Label

• Large scale image retrieval using vector of locally aggregated descriptors (Contributo in atti di convegno) (literal)

Anno

• 2013-01-01T00:00:00+01:00 (literal)

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

• 10.1007/978-3-642-41062-8_25 (literal)

Alternative label

• Amato G., Bolettieri P., Falchi F., Gennaro C. (2013)
  Large scale image retrieval using vector of locally aggregated descriptors
  in SISAP 2013 - Similarity Search and Applications. 6th International Conference, A Coruña, Spain, 2-4 October 2013
  (literal)

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

• Amato G., Bolettieri P., Falchi F., Gennaro C. (literal)

Pagina inizio

• 245 (literal)

Pagina fine

• 256 (literal)

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

• http://link.springer.com/chapter/10.1007%2F978-3-642-41062-8_25 (literal)

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

• 8199 (literal)

Note

• ISI Web of Science (WOS) (literal)
• Scopu (literal)
• PuMa (literal)

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

• CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy. (literal)

Titolo

• Large scale image retrieval using vector of locally aggregated descriptors (literal)

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

• 978-3-642-41061-1 (literal)

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

• Nieves Brisaboa, Oscar Pedreira, Pavel Zezula (literal)

Abstract

• Vector of locally aggregated descriptors (VLAD) is a promising approach for addressing the problem of image search on a very large scale. This representation is proposed to overcome the quantization error problem faced in Bag-of-Words (BoW) representation. However, text search engines have not be used yet for indexing VLAD given that it is not a sparse vector of occurrence counts. For this reason BoW approach is still the most widely adopted method for finding images that represent the same object or location given an image as a query and a large set of images as dataset. In this paper, we propose to enable inverted files of standard text search engines to exploit VLAD representation to deal with large-scale image search scenarios. We show that the use of inverted files with VLAD significantly outperforms BoW in terms of efficiency and effectiveness on the same hardware and software infrastructure. (literal)

Editore

• Springer (Editore)

Prodotto di

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

Autore CNR

• FABRIZIO FALCHI (Unità di personale interno)
• PAOLO BOLETTIERI (Persona)
• CLAUDIO GENNARO (Persona)
• GIUSEPPE AMATO (Persona)

Insieme di parole chiave

• Parole chiave di "Large scale image retrieval using vector of locally aggregated descriptors" (Insieme di parole chiave)

Incoming links:

Autore CNR di

• GIUSEPPE AMATO (Persona)
• CLAUDIO GENNARO (Persona)
• PAOLO BOLETTIERI (Persona)
• FABRIZIO FALCHI (Unità di personale interno)

Prodotto

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

Editore di

• Springer (Editore)

Insieme di parole chiave di

• Parole chiave di "Large scale image retrieval using vector of locally aggregated descriptors" (Insieme di parole chiave)