Getting by with a Little Help from the Crowd: Optimal Human Computation Approaches to Social Image Labeling

Abstract

Validating user tags helps to refine them, making them more useful for finding images. In the case of interpretation-sensitive tags, however, automatic (i.e., pixel-based) approaches cannot be expected to deliver optimal results. Instead, human input is key. This paper studies how crowdsourcing-based approaches to image tag validation can achieve parsimony… (More)

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