Skin segmentation is a challenging task due to several influences such as, for example, unknown lighting conditions, skin colored background, and camera limitations. A lot of skin segmentation approaches were proposed in the past including adaptive (in the sense of updating the skin color online) and non-adaptive approaches. In this paper, we compare three different skin segmentation approaches...

We use multivoxel pattern analysis (MVPA) to study the spatial clustering of color-selective neurons in the human brain. Our main objective was to investigate whether MVPA reveals the spatial arrangements of color-selective neurons in human primary visual cortex (V1). We measured the distributed fMRI activation patterns for different color stimuli (Experiment 1: cardinal colors (to which the LG...

Video segmentation can be considered as a clustering process that classifies one video succession into several objects. Spatial information enhances the quality of clustering which is not utilized in the conventional FCM. Normally fuzzy c-mean (FCM) algorithm is not used for color video segmentation and it is not robust against noise. In this paper, we presented a modified version of fuzzy c-me...

In t,his paper we compared color space models l,ased on hrunan color perception. For this purpose, we made t.wo experinlents to see how human suh-ject,s classify color pixels in color ima.ges. In the first. experiment, subject,^ classify color pixels without seeing the ima.ge. In the second experiment, the subjects segment the images int.0 regions considered t,o I' e of similar colors, seeing t...

Color is one of the most effective visual variables since it can be combined with other mappings and encode information without using any additional space on the display. An important example where expressing additional visual dimensions is direly needed is the analysis of high-dimensional data. The property of perceptual linearity is desirable in this application, because the user intuitively ...

We present techniques to semi-automatically discover Recurrent Visual Semantics (RVS) -the repetitive appearance of visually similar elements such as objects and scenesin consumer photographs. First, we introduce the detection of "bracketing" (very similar photographs) using an edge-correlation metric, which outperforms color histogram. Then, we use color and novel composition features (based o...

Two tasks in Graph Visualization require partitioning: the assignment of visual attributes and divisive clustering. Often, we would like to assign a color or other visual attributes to a node or edge that indicates an associated value. In an application involving divisive clustering, we would like to partition the graph into subsets of graph elements based on metric values in such a way that al...

This paper proposes a method that tracks, and recognizes people in indoor scenes. Background subtraction and foreground silhouette analysis are used to detect people. The colour of each person’s clothes is used as a distinguishing feature for the purpose of tracking and recognizing people. Clothing colour is extracted using histograms on a luminance and perceptually uniform chrominance colour s...

We propose a new image retrieval method based on human perceptual clustering of color images. This color clustering produces for each image a small set of representative colors which captures the color properties of the image, and a small set of sizable contiguous regions which captures the spatial/geometrical properties of the image. The proposed method outperforms the traditional histogram an...

Color quantization of still images can be easily stated as a clustering problem. Color quantization of sequences of images becomes a non-stationary clustering problem. In this paper we propose a very simple and effective evolutive strategy to perform adaptively the computation of the color representatives for each image in the sequence. Salient features of the evolutive strategy proposed here a...