55 search results - page 7 / 11 » Context and Hierarchy in a Probabilistic Image Model |
ECCV
2004
Springer
14 years 9 months ago
2004
Springer
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Image understanding requires not only individually estimating elements of the visual world but also capturing the interplay among them. In this paper, we provide a framework for p...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
ICIP
2002
IEEE
14 years 9 months ago
2002
IEEE
In this paper, we describe a statistical method to detect highlights in a baseball game video. The input video is first segmented into scene shots, within which the camera motion ...
ICIP
1999
IEEE
14 years 9 months ago
1999
IEEE
Deformable geometric models fit very naturally into the context of Bayesian analysis. The prior probability of boundary shapes is taken to proportional to the negative exponential...