{"date_created":"2018-12-11T12:00:37Z","volume":7476,"page":"11 - 20","date_updated":"2021-01-12T07:40:10Z","month":"01","_id":"2971","title":"Interactive labeling of image segmentation hierarchies","quality_controlled":"1","department":[{"_id":"HeEd"}],"date_published":"2012-01-01T00:00:00Z","author":[{"last_name":"Zankl","full_name":"Zankl, Georg","first_name":"Georg"},{"full_name":"Haxhimusa, Yll","last_name":"Haxhimusa","first_name":"Yll"},{"full_name":"Ion, Adrian","last_name":"Ion","id":"29F89302-F248-11E8-B48F-1D18A9856A87","first_name":"Adrian"}],"status":"public","day":"01","year":"2012","type":"conference","oa_version":"None","publication_status":"published","citation":{"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.","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","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","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.","ista":"Zankl G, Haxhimusa Y, Ion A. 2012. Interactive labeling of image segmentation hierarchies. Pattern Recognition vol. 7476, 11–20."},"conference":{"location":"Graz, Austria","name":"Pattern Recognition","end_date":"2012-08-31","start_date":"2012-08-28"},"scopus_import":1,"doi":"10.1007/978-3-642-32717-9_2","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","intvolume":" 7476","publist_id":"3737","publisher":"Springer","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. "}],"language":[{"iso":"eng"}]}