The paper describes a new indexing methodology for image databases integrating color and spatial information for content-based image retrieval. This methodology, called Spatial-Chromatic Histogram (SCH), synthesizing in few values information about the location of pixels having the same color and their arrangement within the image, can be more satisfactory than standard techniques when the user would like to retrieve from the database the images that actually resemble the query image selected in their color distribution characteristics. Experimental trials on a database of about 3000 images are reported and compared with more standard techniques, like Color Coherence Vectors, on the basis of human perceptual judgments. © 2001 Elsevier Science B.V. All rights reserved.
Cinque, L., Ciocca, G., Levialdi, S., Pellicanò, A., Schettini, R. (2001). Color-based image retrieval using spatial-chromatic histograms. IMAGE AND VISION COMPUTING, 19(13), 979-986 [10.1016/S0262-8856(01)00060-9].
Color-based image retrieval using spatial-chromatic histograms
CIOCCA, GIANLUIGISecondo
;SCHETTINI, RAIMONDOUltimo
2001
Abstract
The paper describes a new indexing methodology for image databases integrating color and spatial information for content-based image retrieval. This methodology, called Spatial-Chromatic Histogram (SCH), synthesizing in few values information about the location of pixels having the same color and their arrangement within the image, can be more satisfactory than standard techniques when the user would like to retrieve from the database the images that actually resemble the query image selected in their color distribution characteristics. Experimental trials on a database of about 3000 images are reported and compared with more standard techniques, like Color Coherence Vectors, on the basis of human perceptual judgments. © 2001 Elsevier Science B.V. All rights reserved.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.