1427 search results - page 52 / 286 » Markov Random Field Modeling in Computer Vision |
ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
—We present a meta-learning framework for the design of potential functions for Conditional Random Fields. The design of both node potential and edge potential is formulated as a...
PSIVT
2007
Springer
14 years 3 months ago
2007
Springer
Content-based image retrieval (CBIR) is currently limited because of the lack of representational power of the low-level image features, which fail to properly represent the actual...
ECCV
2008
Springer
14 years 11 months ago
2008
Springer
Abstract. Recently, impressive results have been reported for the detection of objects in challenging real-world scenes. Interestingly however, the underlying models vary greatly e...
CVPR
2011
IEEE
13 years 5 months ago
2011
IEEE
We are interested in the problem of automatic tracking and identification of players in broadcast sport videos shot with a moving camera from a medium distance. While there are m...
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
Many problems in computer vision can be modeled using
conditional Markov random fields (CRF). Since finding
the maximum a posteriori (MAP) solution in such models
is NP-hard, mu...