Wang, J. and Li, J. and Chan, D. and Wiederhold, G. (1999) Semantics-sensitive Retrieval for Digital Picture Libraries. D-LIB Magazine, 5 (11).
We present SIMPLIcity (Semantics-sensitive Integrated Matching for Picture LIbraries), animage database retrieval system, which uses high-level semantics classification andintegrated region matching based upon image segmentation. The SIMPLIcity systemrepresents an image by a set of regions, roughly corresponding to objects, which arecharacterized by color, texture, shape, and location. Based on segmented regions, the systemclassifies images into categories which are intended to distinguish semantically meaningfuldifferences. These high-level categories, such as textured-nontextured, indoor-outdoor,objectionable-benign, graph-photograph, enhance retrieval by narrowing down the searchingrange in a database and permitting semantically adaptive searching methods.
|Uncontrolled Keywords:||content based image retrieval, wavelet, semantics, SIMPLicity|
|Subjects:||Computer Science > Digital Libraries|
|Related URLs:||Project Homepage||http://infolab.stanford.edu/IMAGE/|
|Deposited By:||Import Account|
|Deposited On:||25 Feb 2000 16:00|
|Last Modified:||28 Dec 2008 10:16|
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