Abstract-- This paper presents an authentication watermarking method which can localize the tampering regions in fine granularity. Unlike the previous block-wise Tampering-Localiza...
The research presented in this article is aimed at the development of an automated imaging system for classification of tissues in medical images obtained from Computed Tomography...
A novel statistical approch for detection and tracking of objects is presented here, which uses both edge and color information in a particle filter. The approach does not need an...
In order to summarize a video consisting of a sequence of different activities, there are three fundamental problems: tracking the objects of interest, detecting the activity chan...
Meetings are an integral part of business life for any organization. In previous work, we have developed a physical awareness system called CAMEO (Camera Assisted Meeting Event Ob...
In this paper we propose a method for video delivery over bit error channels. In particular, we propose a rate distortion optimal method for slicing and unequal error protection (...
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
This article proposes a local photometric model that compensates for specular highlights and lighting variations due to position and intensity changes. We define clearly on which ...
Fitting of the chin is an essential part of facial model fitting systems. Many previous approaches to chin fitting have used active contour models or snakes. However, achieving su...