22 search results - page 1 / 5 » Graph-shifts: Natural image labeling by dynamic hierarchical... |
IPMI
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. We propose a novel algorithm called graph-shifts for performing image segmentation and labeling. This algorithm makes use of a dynamic hierarchical representation of the ...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
In this paper, we present a new approach for image labeling based on the recently introduced graph-shifts algorithm. Graph-shifts is an energy minimization algorithm that does lab...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
We present the Higher Order Proxy Neighborhoods (HOPS) approach to modeling higher order neighborhoods in Markov Random Fields (MRFs). HOPS incorporates more context information i...
PAMI
2010
13 years 2 months ago
2010
—This paper addresses the problem of self-validated labeling of Markov random fields (MRFs), namely to optimize an MRF with unknown number of labels. We present graduated graph c...
ICANN
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. We investigate the extent to which eye movements in natural dynamic scenes can be predicted with a simple model of bottom-up saliency, which learns on different visual re...