Semantics-sensitive Retrieval for Digital Picture Libraries
James Ze Wang, Jia Li, Desmond Chan, Gio Wiederhold
Stanford University, Stanford, CA 94305
Abstract:
We present SIMPLIcity (Semantics-sensitive Integrated Matching for
Picture LIbraries), an image database retrieval system, using
high-level semantics classification and integrated region matching
based upon image segmentation. The SIMPLIcity system represents an
image by a set of regions, roughly corresponding to objects, which are
characterized by color, texture, shape, and location. Based on
segmented regions, the system classifies images into categories which
are intended to distinguish semantically meaningful differences. These
high-level categories, such as textured-nontextured, indoor-outdoor,
objectionable-benign, graph-photograph, enhance retrieval by narrowing
down the searching range in a database and permitting semantically
adaptive searching methods.
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Copyright 1999 James Z. Wang, D-LIB.
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Last Modified:
September 7, 1999
© 1999, James Z. Wang