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 …

Content-based visual information retrieval (CBVIR) or content-based image retrieval (CBIR)
has been one on the most vivid research areas in the field of computer vision over the last …

How do we retrieve images accurately? Also, how do we rank a group of images precisely
and efficiently for specific queries? These problems are critical for researchers and …

Data mining is the discovery of interesting, unexpected or valuable structures in large
datasets. As such, it has two rather different aspects. One of these concerns large …

The nearest neighbor problem is the follolving: Given a set of n points P=(PI,..., p,} in some
metric space X, preprocess P so as to efficiently answer queries which require finding bhe …

Now in its fifth edition, John C. Russ's monumental image processing reference is an even
more complete, modern, and hands-on tool than ever before. The Image Processing …

The nearest-or near-neighbor query problems arise in a large variety of database
applications, usually in the context of similarity searching. Of late, there has been increasing …

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 …

We explore the effect of dimensionality on the “nearest neighbor” problem. We show that
under a broad set of conditions (much broader than independent and identically distributed …

Image content based retrieval is emerging as an important research area with application to
digital libraries and multimedia databases. The focus of this paper is on the image …