A Framework for Crowdsourced Multimedia Processing and Querying
Alessandro Bozzon, Ilio Catallo, Eleonora Ciceri, Piero Fraternali, Davide Martinenghi, Marco Tagliasacchi · Virtual Community of Pathological Anatomy (University of Castilla La Mancha) · 2012
This paper introduces a conceptual and architectural framework for addressing the design, execution and verification of tasks by a crowd of performers.The proposed framework is substantiated by an ongoing application to a problem of trademark logo detection in video collections.Preliminary results show that the contribution of crowds can improve the recall of state-of-the-art traditional algorithms, with no loss in terms of precision.However, task-to-executor matching, as expected, has an important influence on the task performance.