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Volume: 1 | Article ID: art00055
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Image Indexing and Retrieval Using Spatial Chromatic Histograms and Signatures
G. Ciocca
R. Schettini
L. Cinque
  DOI :  10.2352/CGIV.2002.1.1.art00055  Published Online :  January 2002
Abstract

We introduce an innovative image retrieval algorithm, the Dynamic Spatial Chromatic Histogram, that makes it possible to take into account spatial information in a flexible way without drastically increasing the computation cost. The results of experimental trials on a database of about 3000 images are here reported and compared with Spatial Chromatic Histogram matching and more standard techniques based on human perceptual judgments to demonstrate the effectiveness of the algorithm proposed.

Journal Title : Conference on Colour in Graphics, Imaging, and Vision
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
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 DOI 10.2352/CGIV.2002.1.1.art00055
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G. Ciocca, R. Schettini, L. Cinque, "Image Indexing and Retrieval Using Spatial Chromatic Histograms and Signatures"  in Proc. IS&T CGIV 2002 First European Conf. on Colour in Graphics, Imaging, and Vision,  2002,  pp 255 - 258,  https://doi.org/10.2352/CGIV.2002.1.1.art00055

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  Copyright statement 
Copyright © Society for Imaging Science and Technology 2002
72010351
Conference on Colour in Graphics, Imaging, and Vision
conf colour graph imag vis
2158-6330
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2158-6330(20020101)2002:1L.255;1-
cgiv_v2002n1/splitsection55.xml
/ist/cgiv/2002/00002002/00000001/art00055
Articles
Image Indexing and Retrieval Using Spatial Chromatic Histograms and Signatures
CioccaG.
SchettiniR.
CinqueL.
01012002
2002
1
255
258
2002
We introduce an innovative image retrieval algorithm, the Dynamic Spatial Chromatic Histogram, that makes it possible to take into account spatial information in a flexible way without drastically increasing the computation cost. The results of experimental trials on a database of about 3000 images are here reported and compared with Spatial Chromatic Histogram matching and more standard techniques based on human perceptual judgments to demonstrate the effectiveness of the algorithm proposed.