To have a robust and informative image content representation for image categorization, we often need to extract as many as possible visual features at various locations, scales a...
Many recognition algorithms depend on careful positioning of an object into a canonical pose, so the position of features relative to a fixed coordinate system can be examined. Cu...
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
In this paper, a word alignment approach is presented which is based on a combination of clues. Word alignment clues indicate associations between words and phrases. They can be b...
Increasingly, cell phones are used to browse for information while location systems assist in gathering information that is most appropriate to the user’s current location. We se...