Click'n'Cut: crowdsourced interactive segmentation with object candidates
Cita com:
hdl:2117/24829
Tipus de documentComunicació de congrés
Data publicació2014
EditorACM
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
This paper introduces Click’n’Cut, a novel web tool for inter- active object segmentation designed for crowdsourcing tasks. Click’n’Cut combines bounding boxes and clicks generated by workers to obtain accurate object segmentations. These segmentations are created by combining precomputed object candidates in a light computational fashion that allows an immediate response from the interface. Click’n’Cut has been tested with a crowdsourcing campaign to annotate images from publicly available datasets. Results are competitive with state-of-the-art approaches, especially in terms of time needed to converge to a high quality segmentation.
CitacióCarlier, A. [et al.]. Click'n'Cut: crowdsourced interactive segmentation with object candidates. A: ACM international workshop on Crowdsourcing for multimedia. "CrowdMM '14 Proceedings of the 2014 International ACM Workshop on Crowdsourcing for Multimedia". Orlando, Florida: ACM, 2014, p. 53-56.
ISBN978-1-4503-3128-9
Versió de l'editorhttp://dl.acm.org/citation.cfm?doid=2660114.2660125
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p53-carlier.pdf | Article | 1,210Mb | Visualitza/Obre | |
crowdmm14horizontal.pdf | Poster | 1017,Kb | Visualitza/Obre |