Divide and conquer: atomizing and parallelizing a task in a mobile crowdsourcing platform

Authors:
Ariel Amato;Angel D. Sappa;Alicia Fornés;Felipe Lumbreras;Josep Lladós
Affiliations:
Crowdmobile S.L (Knowxel), Bellaterra, Spain;Computer Vision Center, Bellaterra, Spain;Computer Vision Center, Bellaterra, Spain;Computer Vision Center & Dept. of Computer Science (UAB), Bellaterra, Spain;Computer Vision Center & Dept. of Computer Science (UAB), Bellaterra, Spain
Venue:
Proceedings of the 2nd ACM international workshop on Crowdsourcing for multimedia
Year:
2013

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Abstract

In this paper we present some conclusions about the advantages of having an efficient task formulation when a crowdsourcing platform is used. In particular we show how the task atomization and distribution can help to obtain results in an efficient way. Our proposal is based on a recursive splitting of the original task into a set of smaller and simpler tasks. As a result both more accurate and faster solutions are obtained. Our evaluation is performed on a set of ancient documents that need to be digitized.