A Framework for crowdsourced multimedia processing and querying

Journal article (2012)

Authors

A. Bozzon Politecnico di Milano
Ilio Catallo Politecnico di Milano
Eleonora Ciceri Politecnico di Milano
Piero Fraternali Politecnico di Milano
Davide Martinenghi Politecnico di Milano
Marco Tagliasacchi Politecnico di Milano
Affiliation
External organisation
Crowdsourcing Multimedia Human Computation
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Published Date

2012

Language

English

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Affiliation

External organisation

Abstract

This paper introduces a conceptual and architectural frame- work 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.