We present a full-reference and a no-reference perceptual video quality metric that incorporate both low-level and high-level aspects of vision. Low-level aspects include color pe...
We used transmittance images and different learning algorithms to classify insect damaged and un-damaged wheat kernels. Using the histogram of the pixels of the wheat images as th...
This paper describes an approach for locating annotations generated in one video and properly placing them in a second, modified version of the same video. We focus on modificatio...
This paper addresses the problem of calibrating a pin-hole camera from images of 1D objects. Assuming a unit aspect ratio and zero skew, we introduce a novel and simple approach t...
Most existing ULP (unequal loss protection) schemes do not consider the minimum quality requirement and usually have high computation complexity. Previously, we proposed a layered...
In this paper, we propose a new color image segmentation algorithm by unsupervised classification of pixels. This procedure iteratively constructs the classes by histogram multith...
A hierarchical framework for the recognition of complex deformable shapes is developed. In extension to traditional approaches an additional layer of control is introduced to guid...
In this paper, we present a robust method for estimating the model parameters in a mixture of probabilistic principal component analyzers. This method is based on the Stochastic v...
We propose a new model for zooming digital image. This model, driven by a partial differential equation, will balance between linear zooming on homogenous zones to anisotropic dif...
While the recent developments in access technologies such as DSL and cable enable end-users to communicate with each other in the means of video and voice, there still exist sever...