@inproceedings{2971,
  abstract     = {We study the task of interactive semantic labeling of a segmentation hierarchy. To this end we propose a framework interleaving two components: an automatic labeling step, based on a Conditional Random Field whose dependencies are defined by the inclusion tree of the segmentation hierarchy, and an interaction step that integrates incremental input from a human user. Evaluated on two distinct datasets, the proposed interactive approach efficiently integrates human interventions and illustrates the advantages of structured prediction in an interactive framework. },
  author       = {Zankl, Georg and Haxhimusa, Yll and Ion, Adrian},
  booktitle    = {34th DAGM and 36th OAGM Symposium},
  issn         = {1611-3349},
  location     = {Graz, Austria},
  pages        = {11 -- 20},
  publisher    = {Springer},
  title        = {{Interactive labeling of image segmentation hierarchies}},
  doi          = {10.1007/978-3-642-32717-9_2},
  volume       = {7476},
  year         = {2012},
}