Correspondence analysis and hierarchical indexing for content-based image retrieval
R Milanese, D Squire, T Pun, P Delogne (ed.)
INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, PROCEEDINGS - VOL III | I E E E | Published : 1996
This paper describes a two-stage statistical approach supporting content-based search in image databases. The first stage performs correspondence analysis, a factor analysis method transforming image attributes into a reduced-size, uncorrelated factor space. The second stage perform ascendant hierarchical classification, an iterative clustering method which constructs a hierarchical index structure for the images of the database. Experimental results supporting the applicability of both techniques to data sets of heterogeneous images are reported.