The book covers the fundamental computer vision techniques such as template matching histogram transformations, background subtraction, filtering and reflectance models, edge detec...
This paper outlines DIAPLAN, a visual rule-based programming language and environment that is based on the computational model of graph transformation. Thanks to its genericity, D...
—Stochastic activity networks (SANs) are a stochastic generalization of Petri nets. SAN models have been used to evaluate a wide range of systems and are supported by several mod...
This paper presents a rate control algorithm for the dominant discrete cosine transform (DCT) -based video coding. It is developed based on a more accurate rate-distortion (RD) mo...
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...