Online parameter estimation in dynamic Markov Random Fields for image sequence analysis.
Vignesh JagadeeshB. S. ManjunathJames AndersonBryan W. JonesRobert MarcSteven K. FisherPublished in: ICIP (2012)
Keyphrases
- parameter estimation
- markov random field
- image sequence analysis
- random fields
- higher order
- graph cuts
- mrf model
- belief propagation
- maximum likelihood
- pairwise
- image segmentation
- least squares
- model selection
- image restoration
- energy function
- posterior distribution
- potential functions
- approximate inference
- conditional random fields
- parameter estimation algorithm
- maximum likelihood estimation
- low level vision
- maximum a posteriori
- em algorithm
- markov chain monte carlo
- parameter learning
- textured images
- expectation maximization
- piecewise constant functions
- moving objects
- prior model
- prior knowledge