A Framework for crowdsourced multimedia processing and querying. / Bozzon, Alessandro; Catallo, Ilio; Ciceri, Eleonora; Fraternali, Piero; Martinenghi, Davide; Tagliasacchi, Marco.
In: CEUR Workshop Proceedings, Vol. 842, 2012, p. 3-8.Research output: Contribution to journal › Article › Scientific › peer-review
}
TY - JOUR
T1 - A Framework for crowdsourced multimedia processing and querying
AU - Bozzon, Alessandro
AU - Catallo, Ilio
AU - Ciceri, Eleonora
AU - Fraternali, Piero
AU - Martinenghi, Davide
AU - Tagliasacchi, Marco
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Crowdsourcing
KW - Human Computation
KW - Multimedia
UR - http://www.scopus.com/inward/record.url?scp=84892559229&partnerID=8YFLogxK
M3 - Article
VL - 842
SP - 3
EP - 8
JO - CEUR Workshop Proceedings
T2 - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
SN - 1613-0073
ER -
ID: 36754792