Image annotation is a very important task as the number of photographs has gone sky-high. This paper describes our participation in the ImageCLEF Large Scale Visual Concept Detection and Annotation Task 2009. We present the method used for our best run. Our approach is inspired from a recently proposed method where joint equal contribution (JEC) of simple global color and texture features can o...

Background updating is an important aspect of dynamic scene analysis. Two critical problems: sudden camera perturbation and the sleeping person problem, which arise frequently in real-world surveillance and monitoring systems, are addressed in the proposed scheme. The paper presents a multi-color model where multiple color clusters are used to represent the background at each pixel location. In...

Artistic representation of naturalistic scenes makes use of a range of visual processing features, and color and illumination are two that are frequently employed as strong dimensional emphases, especially in the medium of painting. Variations in human retinal photopigment classes are known to effect perception of light and color, and produce color appearance processing differences across indiv...

Revision date: 03-01-2005 Newton, Young, Maxwell, and Schrodinger were all central figures in the history of color science [20]. This chapter brings up to date a previous version written by the color scientist Edwin Land, who was himself renowned as an inventor and founder of the Polaroid Corporation, but who maintained an active interest in the psychology of human color vision throughout his c...

In this paper, we analyze whether Principal Component Analysis (PCA) is an appropriate tool for estimating spatial information in spatio-chromatic mosaiced images. Ruderman et al. [1] have shown that the spatio-chromatic principal components of cone images contain first spatial information, followed by blue minus yellow and red minus green. However, their analysis is based on fully defined spat...

We analyze whether Independant Component Analysis (ICA) is an appropriate tool for estimating spatial information in spatiochromatic mosaiced color images. In previous studies, ICA analysis of natural color scenes (Hoyer et al. 2000; Tailor et al., 2000; Wachtler et al., 2001; Lee et al. 2002) have shown the emergence of achromatic patterns that can be used for luminance estimation. However, th...

A cognitive robot may face failures during the execution of its actions. These failures are mostly due to the gap between the physical world and the constructed symbolic plans, some internal problems that may occur in its embodiment or unexpected external events. In this paper, we propose a visual scene interpretation system for extracting spatial relations among objects in a scene and using th...

Color space transformation (or color correction) needs to be performed in typical imaging devices because the spectral sensitivity functions of the sensors deviate from the desired target color space. Several researchers have shown that when the color channels are correlated, color correction can result in sensor noise amplification [1-4]. In this paper, we describe a color correction method th...

Scene classification plays an important role in understanding high-resolution satellite (HRS) remotely sensed imagery. For remotely sensed scenes, both color information and texture information provide the discriminative ability in classification tasks. In recent years, substantial performance gains in HRS image classification have been reported in the literature. One branch of research combine...

Because the importance of color in visual tasks such as object identification and scene memory has been debated, we sought to determine whether color is used to guide visual search in contextual cuing with real-world scenes. In Experiment 1, participants searched for targets in repeated scenes that were shown in one of three conditions: natural colors, unnatural colors that remained consistent ...