@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}, 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}, }