Annotating photographs with broad semantic labels can be useful in both image processing and content-based image retrieval. We show here how low-level features can be related to semantic photo categories, such as indoor, outdoor and close-up, using decision forests consisting of trees constructed according to CART methodology. We also show how the results can be improved by introducing a rejection option in the classification process. Experimental results on a test set of 4,500 photographs are reported and discussed.

Schettini, R., Cusano, C., Ciocca, G., Brambilla, C. (2004). Automatic classification of digital photographs based on decision forests. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 18(5), 819-845 [10.1142/S0218001404003435].

Automatic classification of digital photographs based on decision forests

SCHETTINI, RAIMONDO;CUSANO, CLAUDIO;CIOCCA, GIANLUIGI;
2004

Abstract

Annotating photographs with broad semantic labels can be useful in both image processing and content-based image retrieval. We show here how low-level features can be related to semantic photo categories, such as indoor, outdoor and close-up, using decision forests consisting of trees constructed according to CART methodology. We also show how the results can be improved by introducing a rejection option in the classification process. Experimental results on a test set of 4,500 photographs are reported and discussed.
Articolo in rivista - Articolo scientifico
image classification, decision forests, CART
English
819
845
Schettini, R., Cusano, C., Ciocca, G., Brambilla, C. (2004). Automatic classification of digital photographs based on decision forests. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 18(5), 819-845 [10.1142/S0218001404003435].
Schettini, R; Cusano, C; Ciocca, G; Brambilla, C
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/12903
Citazioni
  • Scopus 28
  • ???jsp.display-item.citation.isi??? 21
Social impact