The complexity of multimedia contents is significantly increasing in the current digital world.
This yields an exigent demand for developing highly effective retrieval systems to satisfy …

This paper addresses the problem of segmenting an image into regions. We define a
predicate for measuring the evidence for a boundary between two regions using a graph …

Image segmentation plays a crucial role in effective understanding of digital images. Past
few decades saw hundreds of research contributions in this field. However, the research on …

This paper explores a statistical basis for a process often described in computer vision:
image segmentation by region merging following a particular order in the choice of regions …

A nonparametric estimator of density gradient, the mean shift, is employed in the joint,
spatial-range (value) domain of gray level and color images for discontinuity preserving …

A key goal of computer vision researchers is to create automated face recognition systems
that can equal, and eventually surpass, human performance. To this end, it is imperative that …

We consider methods for answering reliably the question of whether an image contains
hidden data; the focus is on grayscale bitmap images and simple LSB steganography. Using …

Steganography is the art of secret communication and steganalysis is the art of detecting the
hidden messages embedded in digital media using steganography. Both steganography …

This paper addresses the automatic image segmentation problem in a region merging style.
With an initially oversegmented image, in which many regions (or superpixels) with …

One of the key challenges in face perception lies in determining how different facial
attributes contribute to judgments of identity. In this study, we focus on the role of color cues …