We have witnessed great interest and a wealth of promise in content-based image retrieval
as an emerging technology. While the last decade laid foundation to such promise, it also …

This paper provides an overview of current research in image information retrieval and
provides an outline of areas for future research. The approach is broad and interdisciplinary …

This paper provides a comprehensive survey of the technical achievements in the research
area of image retrieval, especially content-based image retrieval, an area that has been so …

In order to improve the retrieval accuracy of content-based image retrieval systems, research
focus has been shifted from designing sophisticated low-level feature extraction algorithms …

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

Aesthetics, in the world of art and photography, refers to the principles of the nature and
appreciation of beauty. Judging beauty and other aesthetic qualities of photographs is a …

Content-based image retrieval (CBIR) has become one of the most active research areas in
the past few years. Many visual feature representations have been explored and many …

Object recognition systems constitute a deeply entrenched and omnipresent component of
modern intelligent systems. Research on object recognition algorithms has led to advances …

We have analyzed the properties of the HSV (hue, saturation and value) color space with
emphasis on the visual perception of the variation in hue, saturation and intensity values of …

We present a statistical view of the texture retrieval problem by combining the two related
tasks, namely feature extraction (FE) and similarity measurement (SM), into a joint modeling …