: A new method is presented to learn object categories from unlabeled and unsegmented images for generic object recognition. We assume that each object can be characterized by a se...
Andreas Opelt, Axel Pinz, Michael Fussenegger, Pet...
This paper investigates the use of the Bayesian inference for devising an example-based rendering procedure. As prior model of this Bayesian inference, we exploit the multiscale n...
Different data acquisition methods are tailored at extracting particular characteristics from a scene and by combining their results a more robust scene description can be created...
We propose a flexible summarization framework for teamsport videos, which is able to integrate both the knowledge about displayed content (e.g. level of interest, type of view, et...
Computerized analysis of paintings has recently gained interest. The rapid technological advancements and the expanding interdisciplinary collaboration present us a promising pros...