Color description is one of the fundamental problems of image understanding. One of the
popular ways to represent colors is by means of color names. Most existing work on color …

In this article we provide an overview of color name applications in computer vision. Color
names are linguistic labels which humans use to communicate color. Computational color …

Color description is a challenging task because of large variations in RGB values which
occur due to scene accidental events, such as shadows, shading, specularities, illuminant …

Color serves as an important cue for many computer vision tasks. Nevertheless, obtaining
accurate color description from images is non-trivial due to varying illumination conditions …

Due to the rapid development of information technology and the continuously increasing
number of available multimedia data, the task of retrieving information based on visual …

In image recognition it is often assumed the method used to convert color images to
grayscale has little impact on recognition performance. We compare thirteen different …

In the context of content-based image retrieval (CBIR) problem, an image is represented by
feature vectors called descriptors, whose efficiency is essential to obtain a good …

Although color is commonly experienced as an indispensable quality in describing the world
around us, state-of-the art local feature-based representations are mostly based on shape …

Color is an important visual attribute for both human vision and computer processing. This
chapter provides an overview of MPEG-7 color descriptors. As is the case with the other …

The extraction of high-level color descriptors is an increasingly important problem, as these
descriptions often provide links to image content. When combined with image segmentation …