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. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works, must be obtained from James Z. Wang and D-LIB.

Last Modified: September 7, 1999
1999, James Z. Wang