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 …

With the explosive growth of the World Wide Web, the public is gaining access to massive
amounts of information. However, locating needed and relevant information remains a …

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 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 …

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 …

Distance measures like the Euclidean distance are used to measure similarity between
images in content-based image retrieval. Such geometric measures implicitly assign more …

We introduce in this chapter some fundamental theories for content-based image retrieval.
Section 1.1 looks at the development of content-based image retrieval techniques. Then, as …

This book introduces the fundamental concepts of modern digital image processing. It aims
to help the students, scientists, and practitioners to understand the concepts through clear …

We aim at combining color and shape invariants for indexing and retrieving images. To this
end, color models are proposed independent of the object geometry, object pose, and …

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 …