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].
Citazione: | 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]. | |
Tipo: | Articolo in rivista - Articolo scientifico | |
Carattere della pubblicazione: | Scientifica | |
Titolo: | Automatic classification of digital photographs based on decision forests | |
Autori: | Schettini, R; Cusano, C; Ciocca, G; Brambilla, C | |
Autori: | ||
Data di pubblicazione: | 2004 | |
Lingua: | English | |
Rivista: | INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE | |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1142/S0218001404003435 | |
Appare nelle tipologie: | 01 - Articolo su rivista |