A novel approach identifying and segmenting skin regions within images is presented in this paper. The identification and recognition of facial regions are a central focus of this work. A set of standard images containing facial/skin objects is first manually segmented into the interested regions. These regions are utilized in the training the system. Dominant color features (i.e., the most fre...

Image retrieval is an important research field, which has received great attention in the last decades. The main purpose of research in this field is to improve the process of finding the desired image in the large and variable database. In this paper, we present an approach for the image retrieval based on the combination of text-based and content-based features. For text-based features, keywo...

A traditional fashion designer has to draw a large number of drafts in order to accomplish an ideal style. Better performance can be achieved if these operations are done on computers, because the designer can easily make changes for various patterns and colors. To develop a computer-aided fashion design system, one of the most difficult tasks is to automatically separate the clothing from the ...

Abstract: The remote sensing images are increasing day by day therefore storage and retrieval of these images is of significant importance. In this paper a prototype model for retrieval of remote sensing images on the basis of color moment and gray level co-occurrence matrix feature is developed and different vegetation index feature is extractor as color, texture and spectral. These three feat...

Clustering of the texture images is a demanding part of multimedia database mining. Most of the natural textures are non-homogenous in terms of color and textural properties. In many cases, there is a need for a system that is able to divide the non-homogenous texture images into visually similar clusters. In this paper, we introduce a new method for this purpose. In our clustering technique, t...

The use of the second order statistical measures has became popular in the image database indexing and retrieval. Unlike the common approach, image histogram, second order statistics like image correlogram and autocorrelogram consider also the spatial organization of the image colors or gray levels. Recently, correlograms and autocorrelograms have been widely used in the image database indexing...

A novel approach utilized in video database objectbased queries is proposed. This new method segments an example video sequence into real world objects using a combination of color image segmentation techniques along with MPEG-1/2 motion vectors. First, the initial frame in the sequence undergoes a color/texture segmentation algorithm that divides the frame into homogenous regions of color and ...

In the present days, Images are widely used everywhere. The Image retrieval are classified into content based image retrieval that is using image contents such as color, texture, shape and spatial information and context based image retrieval that is using annotated text. Content Based Image Retrieval (CBIR) is a well-known technique for effective image retrieval. The fused features are used to...

This paper investigates association between portfolio returns and higher-order systematic co-moments at different timescales obtained through wavelet multiscalinga technique that decomposes a given return series into different timescales enabling investigation at different return intervals. For some portfolios, the relative risk positions indicated by systematic co-moments at higher timescales ...