Click'n'Cut: crowdsourced interactive segmentation with object candidates
Document typeConference lecture
Rights accessOpen Access
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.
CitationCarlier, 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.