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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 journalArticleScientificpeer-review

Harvard

Bozzon, A, Catallo, I, Ciceri, E, Fraternali, P, Martinenghi, D & Tagliasacchi, M 2012, 'A Framework for crowdsourced multimedia processing and querying' CEUR Workshop Proceedings, vol. 842, pp. 3-8.

APA

Bozzon, A., Catallo, I., Ciceri, E., Fraternali, P., Martinenghi, D., & Tagliasacchi, M. (2012). A Framework for crowdsourced multimedia processing and querying. CEUR Workshop Proceedings, 842, 3-8.

Vancouver

Bozzon A, Catallo I, Ciceri E, Fraternali P, Martinenghi D, Tagliasacchi M. A Framework for crowdsourced multimedia processing and querying. CEUR Workshop Proceedings. 2012;842:3-8.

Author

Bozzon, Alessandro ; Catallo, Ilio ; Ciceri, Eleonora ; Fraternali, Piero ; Martinenghi, Davide ; Tagliasacchi, Marco. / A Framework for crowdsourced multimedia processing and querying. In: CEUR Workshop Proceedings. 2012 ; Vol. 842. pp. 3-8.

BibTeX

@article{905fee7b4c734f7f973a0caee0c17842,
title = "A Framework for crowdsourced multimedia processing and querying",
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.",
keywords = "Crowdsourcing, Human Computation, Multimedia",
author = "Alessandro Bozzon and Ilio Catallo and Eleonora Ciceri and Piero Fraternali and Davide Martinenghi and Marco Tagliasacchi",
year = "2012",
language = "English",
volume = "842",
pages = "3--8",
journal = "CEUR Workshop Proceedings",
issn = "1613-0073",

}

RIS

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