---
res:
  bibo_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. @eng'
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Georg
      foaf_name: Zankl, Georg
      foaf_surname: Zankl
  - foaf_Person:
      foaf_givenName: Yll
      foaf_name: Haxhimusa, Yll
      foaf_surname: Haxhimusa
  - foaf_Person:
      foaf_givenName: Adrian
      foaf_name: Ion, Adrian
      foaf_surname: Ion
      foaf_workInfoHomepage: http://www.librecat.org/personId=29F89302-F248-11E8-B48F-1D18A9856A87
  bibo_doi: 10.1007/978-3-642-32717-9_2
  bibo_volume: 7476
  dct_date: 2012^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/1611-3349
  dct_language: eng
  dct_publisher: Springer@
  dct_title: Interactive labeling of image segmentation hierarchies@
...