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» TV-Based Multi-Label Image Segmentation with Label Cost Prio...
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BMVC
2010
13 years 2 months ago
TV-Based Multi-Label Image Segmentation with Label Cost Prior
This paper studies image segmentation based on the minimum description length (MDL) functional combining spatial regularization with a penality for the number of distinct segments...
Jing Yuan, Yuri Boykov
CVPR
2009
IEEE
14 years 11 months ago
What's It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations
Active learning strategies can be useful when manual labeling effort is scarce, as they select the most informative examples to be annotated first. However, for visual category ...
Sudheendra Vijayanarasimhan (University of Texas a...
IJCV
2006
205views more  IJCV 2006»
13 years 4 months ago
A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation
We propose a variational framework for the integration of multiple competing shape priors into level set based segmentation schemes. By optimizing an appropriate cost functional wi...
Daniel Cremers, Nir A. Sochen, Christoph Schnö...
ECCV
2004
Springer
14 years 6 months ago
Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation
Abstract. We propose a variational framework for the integration multiple competing shape priors into level set based segmentation schemes. By optimizing an appropriate cost functi...
Daniel Cremers, Nir A. Sochen, Christoph Schnö...
PAMI
2007
187views more  PAMI 2007»
13 years 4 months ago
Supervised Learning of Semantic Classes for Image Annotation and Retrieval
—A probabilistic formulation for semantic image annotation and retrieval is proposed. Annotation and retrieval are posed as classification problems where each class is defined as...
Gustavo Carneiro, Antoni B. Chan, Pedro J. Moreno,...