Surfimage

Abstract

for cozienf-based image Tetieval, most of the cument systems aTe "tigid", i.e. they rettieve a fied set of images as Tesponse to a given que~and an image featuTe. We introduce S=fitaage, a useT-fiendly, genetic and flw-ble content-based image TetievaI system. Stiiatage wes the que~-by-sample appToach for ~ettieving images and integrate advanced ~eatuTessuch as image signatuTe combination, classification, multiple queti~and queq Refinement. The classic and advanced featuTes of SMiraage aTe detaild in the papeT. Stiiraage has been eztensive[y t~ted oz dozens of databas~and p~oauced ezcellent Tetm-evalTe-S-dts; a sample of Tetm"evaTau~ts h pr~ented here. I