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Communication Dans Un Congrès Année : 2014

Click'n'Cut: crowdsourced interactive segmentation with object candidates

Click'n'Cut

Résumé

This paper introduces Click'n'Cut, a novel web tool for interactive object segmentation addressed to 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 a subset of the Berkeley Segmentation Dataset (BSDS). Results show competitive results with state of the art, especially in time to converge to a high quality segmentation. The data collection campaign included golden standard tests to detect cheaters.
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Dates et versions

hal-04080198 , version 1 (24-04-2023)

Identifiants

Citer

Axel Carlier, Vincent Charvillat, Amaia Salvador, Xavier Giro-I-Nieto, Oge Marques. Click'n'Cut: crowdsourced interactive segmentation with object candidates. International ACM Workshop on Crowdsourcing for Multimedia (CrowdMM 2014) @ MM 2014, ACM, Nov 2014, Orlando, United States. pp.53-56, ⟨10.1145/2660114.2660125⟩. ⟨hal-04080198⟩
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