• Alessandro Bozzon
  • Ilio Catallo
  • Eleonora Ciceri
  • Piero Fraternali
  • Davide Martinenghi
  • Marco Tagliasacchi

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.

Original languageEnglish
Pages (from-to)3-8
Number of pages6
JournalCEUR Workshop Proceedings
Publication statusPublished - 2012
Externally publishedYes

    Research areas

  • Crowdsourcing, Human Computation, Multimedia

ID: 36754792