A Framework for Crowdsourced Multimedia Processing and Querying

Alessandro Bozzon, Ilio Catallo, Eleonora Ciceri, Piero Fraternali, Davide Martinenghi, Marco Tagliasacchi
2012 The Web Conference  
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.
dblp:conf/www/BozzonCCFMT12 fatcat:o3rah4da3jf4xbame5ebz3vlgy