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 …

Feature Extraction for Image Processing and Computer Vision is an essential guide to the
implementation of image processing and computer vision techniques, with tutorial …

In this paper we propose and examine non-parametric statistical tests to define similarity and
homogeneity measures for textures. The statistical tests are applied to the coefficients of …

In this paper, we propose a novel texture analysis method using the complex network theory.
We investigated how a texture image can be effectively represented, characterized and …

The paper describes a new indexing methodology for image databases integrating color
and spatial information for content-based image retrieval. This methodology, called Spatial …

In this chapter, we present an overview on the theory, techniques and applications of content-
based image retrieval. We choose patterns of use, image domains and computation as the …

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 …

The ever increasing amount of multimedia data creates a need for new sophisticated
methods to retrieve the information one is looking for. Especially for the visual content this is …

This dissertation investigates the system-centred evaluation of visual information retrieval
from generic photographic collections. The development of visual information retrieval …

Content-based image retrieval systems require the development of relevance feedback
mechanisms that allow the user to progressively refine the system's response to a query. In …