A region-centered topic model for object discovery and category-based image segmentation.
Iván González-DíazFernando Díaz-de-MaríaPublished in: Pattern Recognit. (2013)
Keyphrases
- topic models
- image segmentation
- latent dirichlet allocation
- topic modeling
- probabilistic model
- topic discovery
- latent variables
- text documents
- latent topics
- generative model
- graph cuts
- gibbs sampling
- co occurrence
- text mining
- baseline models
- computer vision
- active contours
- variational inference
- level set
- object categories
- image processing
- microblog posts
- energy function
- segmentation algorithm
- segmentation method
- probabilistic topic models
- expectation maximization
- generative process
- probability distribution
- data analysis