Content-based image retrieval (CBIR)... considerable study since the
early 90′s. Much effort has gone into characterizing the
"content" of an image for the purpose of subsequent
retrieval. The present study seeks to capitalize on this work and to
extend it by employing content-analysis of multiple representations
of an image which we term multiple viewpoints or channels. The idea
is to place each image in multiple feature spaces and then effect
retrieval by querying each of these spaces and merging the several
responses. We show that a simple realization of this strategy can be
used to boost the retrieval effectiveness of conventional CBIR. 数据挖掘研究院
