Interactive labeling of image segmentation hierarchies LNCS Zankl, Georg Haxhimusa, Yll Ion, Adrian 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. Springer 2012 info:eu-repo/semantics/conferenceObject doc-type:conferenceObject text http://purl.org/coar/resource_type/c_5794 https://research-explorer.ista.ac.at/record/2971 Zankl G, Haxhimusa Y, Ion A. Interactive labeling of image segmentation hierarchies. In: <i>34th DAGM and 36th OAGM Symposium</i>. Vol 7476. Springer; 2012:11-20. doi:<a href="https://doi.org/10.1007/978-3-642-32717-9_2">10.1007/978-3-642-32717-9_2</a> eng info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-642-32717-9_2 info:eu-repo/semantics/altIdentifier/e-issn/1611-3349 info:eu-repo/semantics/altIdentifier/e-isbn/9783642327179 info:eu-repo/semantics/closedAccess