Open Archive TOULOUSE Archive Ouverte (OATAO) To cite this version QUALITY CONTROL IN CROWDSOURCED OBJECT SEGMENTATION

Cabezas, Axel, Salvador, Amaia, Giro Nieto, Xavier Charvillat, Vincent, Ferran Cabezas, Axel Carlier, Vincent Charvillat, Amaia Salvador, Xavier Giro-I-Nieto
2015 Quality Control in Crowdsourced Object Segmentation   unpublished
OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. This is an author-deposited version published in : http://oatao.univ-toulouse.fr/ Eprints ID : 15073 The contribution was presented at : ABSTRACT This paper explores processing techniques to deal with noisy data in crowdsourced object segmentation tasks. We use the data collected with Click'n'Cut, an online interactive segmentation tool, and we perform
more » ... and we perform several experiments towards improving the segmentation results. First, we introduce different superpixel-based techniques to filter users' traces, and assess their impact on the segmentation result. Second, we present different criteria to detect and discard the traces from potential bad users, resulting in a remarkable increase in performance. Finally, we show a novel superpixel-based segmenta-tion algorithm which does not require any prior filtering and is based on weighting each user's contribution according to his/her level of expertise.
fatcat:busbu6g5ovethp4ffwrlndnsf4