Image retrieval is a two steps process: 1) indexing, in which a set or a vector of features summarizing the properties of each image in the database, is computed and stored; and 2) retrieval, in which the features of the query image are extracted and compared with the others in the database. The database images are then ranked in order of their similarity. We introduce an innovative image retrieval strategy, the Dynamic Spatial Chromatic Histogram, which makes it possible to take into account spatial information in a flexible way without greatly adding to computation costs. Our preliminary results on a database of about 3000 images show that the proposed indexing and retrieval strategy is a powerful approach.
Ciocca, G., Schettini, R. (2003). Image retrieval using dynamic spatial chromatic histograms. In Visual Communications and Image Processing (pp.1829-1837). SPIE-INT SOC OPTICAL ENGINEERING [10.1117/12.503344].
Image retrieval using dynamic spatial chromatic histograms
Ciocca, G;Schettini, R
2003
Abstract
Image retrieval is a two steps process: 1) indexing, in which a set or a vector of features summarizing the properties of each image in the database, is computed and stored; and 2) retrieval, in which the features of the query image are extracted and compared with the others in the database. The database images are then ranked in order of their similarity. We introduce an innovative image retrieval strategy, the Dynamic Spatial Chromatic Histogram, which makes it possible to take into account spatial information in a flexible way without greatly adding to computation costs. Our preliminary results on a database of about 3000 images show that the proposed indexing and retrieval strategy is a powerful approach.
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