Quality Control in Crowdsourced Object Segmentation

Ferran Cabezas
Ferran Cabezas
Xavier Giró i Nieto
Xavier Giró i Nieto

International Conference on Image Processing, pp. 4243-4247, 2015.

Cited by: 12|Views18
EI

Abstract:

This paper explores processing techniques to deal with noisy data in crowdsourced object segmentation tasks. We use the data collected with Click\u0027n\u0027Cut, an online interactive segmentation tool, and we perform several experiments towards improving the segmentation results. First, we introduce different superpixel-based techniques...More

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