Consiglio Nazionale delle Ricerche

Tipo di prodottoContributo in atti di convegno
TitoloExperimenting a visual attention model in the context of CBIR systems
Anno di pubblicazione2013
FormatoElettronico
Autore/iCardillo F.A.; Amato G.; Falchi F.
Affiliazioni autoriCNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy
Autori CNR e affiliazioni
  • GIUSEPPE AMATO
  • FABRIZIO FALCHI
  • FRANCO ALBERTO CARDILLO
Lingua/e
  • inglese
AbstractMany novel applications in the field of object recognition and pose estimation have been built relying on local invariant features extracted from selected key points of the images. Such keypoints usually lie on high-contrast regions of the image, such as object edges. However, the visual saliency of the those regions is not considered by state-of-the art detection algorithms that assume the user is interested in the whole image. Moreover, the most common approaches discard all the color in- formation by limiting their analysis to monochromatic versions of the input images. In this paper we present the experimental results of the application of a biologically-inspired visual attention model to the problem of local feature selection in landmark and object recognition tasks. The model uses color-information and restricts the matching between the images to the areas showing a strong saliency. The results show that the approach improves the accuracy of the classifier in the object recognition task and preserves a good accuracy in the landmark recognition task when a high percentage of visual features is filtered out. In both cases the reduction of the average numbers of local features result in high efficiency gains during the search phase that typically requires costly searches of candidate images for matches and geometric consistency checks.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da45
Pagine a56
Pagine totali12
Rivista-
Numero volume della rivista-
Serie/CollanaCEUR workshop proceedings
Attiva dal 1995
Editore: M. Jeusfeld c/o Redaktion Sun SITE, Informatik V, RWTH Aachen. - Aachen
Paese di pubblicazione: Germania
Lingua: multilingue
ISSN: 1613-0073
Titolo chiave: CEUR workshop proceedings
Titolo proprio: CEUR workshop proceedings.
Titolo abbreviato: CEUR workshop proc.
Titolo alternativo: Central EURope workshop proceedings
Titolo del volume4th Italian Information Retrieval Workshop, IIR 2013
Numero volume della serie/collana964
Curatore/i del volume-
ISBN-
DOI-
Editore-
Verificato da refereeSì: Nazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:2-s2.0-84922785036)
Parole chiaveBehavioral research, Color matching, Image matching, Information retrieval
Link (URL, URI)http://ceur-ws.org/Vol-964/paper8.pdf
Titolo convegno/congressoIIR 2013 - 4th Italian Information Retrieval Workshop
Luogo convegno/congressoPisa, Italy
Data/e convegno/congresso16-17 January 2013
RilevanzaNazionale
RelazioneContributo
Titolo parallelo-
Note/Altre informazioni-
Strutture CNR
  • ISTI — Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"
Moduli CNR
    Progetti Europei-
    Allegati
    • IIR2013
      Descrizione: IIR2013