We present here SIMPLIcity (semantics-sensitive integrated matching for picture libraries),
an image retrieval system, which uses semantics classification methods, a wavelet-based …

Abstract We present here SIMPLIcity (Semantics-sensitive Integrated Matching for Picture
LIbraries), an image retrieval system using semantics classification and integrated region …

Approaches for content-based image querying typically extract a single signature from each
image based on color, texture, or shape features. The images returned as the query result …

Traditional approaches for content-based image querying typically compute a single
signature for each image based on color histograms, texture, wavelet tranforms etc., and …

The emergence of multimedia technology and the rapidly expanding image and video
collections on the Internet have attracted significant research efforts in providing tools for …

This paper demonstrates an approach to content based image retrieval founded on the
semantically meaningful labelling of images by high level visual categories. The image …

This paper deals with efficient retrieval of images from large databases based on the color
and shape content in images. With the increasing popularity of the use of large-volume …

In many areas of commerce, government, academia, and hospitals, large collections of
digital images are being created. Many of these collections are the product of digitizing …

Presents a review of 200 references in content-based image retrieval. The paper starts with
discussing the working conditions of content-based retrieval: patterns of use, types of …

This contribution develops a new technique for content-based image retrieval. Where most
existing image retrieval systems mainly focus on color and color distribution or texture, we …