{"publisher":"Springer","date_published":"2012-01-01T00:00:00Z","day":"01","oa_version":"None","intvolume":" 7476","title":"Interactive labeling of image segmentation hierarchies","conference":{"start_date":"2012-08-28","location":"Graz, Austria","name":"Pattern Recognition","end_date":"2012-08-31"},"publist_id":"3737","date_updated":"2021-01-12T07:40:10Z","_id":"2971","language":[{"iso":"eng"}],"author":[{"full_name":"Zankl, Georg","first_name":"Georg","last_name":"Zankl"},{"full_name":"Haxhimusa, Yll","first_name":"Yll","last_name":"Haxhimusa"},{"last_name":"Ion","full_name":"Ion, Adrian","first_name":"Adrian","id":"29F89302-F248-11E8-B48F-1D18A9856A87"}],"quality_controlled":"1","page":"11 - 20","type":"conference","citation":{"ista":"Zankl G, Haxhimusa Y, Ion A. 2012. Interactive labeling of image segmentation hierarchies. Pattern Recognition vol. 7476, 11–20.","ieee":"G. Zankl, Y. Haxhimusa, and A. Ion, “Interactive labeling of image segmentation hierarchies,” presented at the Pattern Recognition, Graz, Austria, 2012, vol. 7476, pp. 11–20.","mla":"Zankl, Georg, et al. Interactive Labeling of Image Segmentation Hierarchies. Vol. 7476, Springer, 2012, pp. 11–20, doi:10.1007/978-3-642-32717-9_2.","chicago":"Zankl, Georg, Yll Haxhimusa, and Adrian Ion. “Interactive Labeling of Image Segmentation Hierarchies,” 7476:11–20. Springer, 2012. https://doi.org/10.1007/978-3-642-32717-9_2.","short":"G. Zankl, Y. Haxhimusa, A. Ion, in:, Springer, 2012, pp. 11–20.","apa":"Zankl, G., Haxhimusa, Y., & Ion, A. (2012). Interactive labeling of image segmentation hierarchies (Vol. 7476, pp. 11–20). Presented at the Pattern Recognition, Graz, Austria: Springer. https://doi.org/10.1007/978-3-642-32717-9_2","ama":"Zankl G, Haxhimusa Y, Ion A. Interactive labeling of image segmentation hierarchies. In: Vol 7476. Springer; 2012:11-20. doi:10.1007/978-3-642-32717-9_2"},"volume":7476,"scopus_import":1,"year":"2012","date_created":"2018-12-11T12:00:37Z","department":[{"_id":"HeEd"}],"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","publication_status":"published","doi":"10.1007/978-3-642-32717-9_2","status":"public","abstract":[{"lang":"eng","text":"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. "}],"month":"01"}