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Automatic classification of images on the Web
2001
Storage and Retrieval for Media Databases 2002
Numerous research works about the extraction of low-level features from images and videos have been published. However, only recently the focus has shifted to exploiting low-level features to classify images and videos automatically into semantically meaningful and broad categories. In this paper, novel classification algorithms are presented for three broad and generalpurpose categories. In detail, we present algorithms for distinguishing photo-like images from graphical images, true photos
doi:10.1117/12.451108
dblp:conf/spieSR/HartmannL02
fatcat:nteprhbi7jbaholojleoi2ascm