Forskning ved Københavns Universitet - Københavns Universitet

Forside

Using crowdsourcing to capture complexity in human interpretations of multimedia content

Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologi

Standard

Using crowdsourcing to capture complexity in human interpretations of multimedia content. / Larson, Martha ; Melenhorst, Mark; Menendez Blanco, Maria; Xu, Peng.

Fusion in Computer Vision: Advances in Computer Vision and Pattern Recognition. 2014. s. 229-269.

Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologi

Harvard

Larson, M, Melenhorst, M, Menendez Blanco, M & Xu, P 2014, Using crowdsourcing to capture complexity in human interpretations of multimedia content. i Fusion in Computer Vision: Advances in Computer Vision and Pattern Recognition. s. 229-269. https://doi.org/10.1007/978-3-319-05696-8_10

APA

Larson, M., Melenhorst, M., Menendez Blanco, M., & Xu, P. (2014). Using crowdsourcing to capture complexity in human interpretations of multimedia content. I Fusion in Computer Vision: Advances in Computer Vision and Pattern Recognition (s. 229-269) https://doi.org/10.1007/978-3-319-05696-8_10

Vancouver

Larson M, Melenhorst M, Menendez Blanco M, Xu P. Using crowdsourcing to capture complexity in human interpretations of multimedia content. I Fusion in Computer Vision: Advances in Computer Vision and Pattern Recognition. 2014. s. 229-269 https://doi.org/10.1007/978-3-319-05696-8_10

Author

Larson, Martha ; Melenhorst, Mark ; Menendez Blanco, Maria ; Xu, Peng. / Using crowdsourcing to capture complexity in human interpretations of multimedia content. Fusion in Computer Vision: Advances in Computer Vision and Pattern Recognition. 2014. s. 229-269

Bibtex

@inbook{05e820f4a45245a2831593603d00cf81,
title = "Using crowdsourcing to capture complexity in human interpretations of multimedia content",
abstract = "Large-scale crowdsourcing platforms are a key tool allowing researchers in the area of multimedia content analysis to gain insight into how users interpret social multimedia. The goal of this article is to support this process in a practical manner that opens the path for productive exploitation of complex human interpretations of multimedia content within multimedia systems. We first discuss in detail the nature of complexity in human interpretations of multimedia, and why we, as researchers, should look outward to the crowd, rather than inward to ourselves, to determine what users consider important about the content of images and videos. Then, we present strategies and insights from our own experience in designing tasks for crowdworkers. Our techniques are useful to researchers interested in eliciting information about the elements and aspects of multimedia that are important in the contexts in which humans use social multimedia.",
author = "Martha Larson and Mark Melenhorst and {Menendez Blanco}, Maria and Peng Xu",
year = "2014",
doi = "10.1007/978-3-319-05696-8_10",
language = "English",
pages = "229--269",
booktitle = "Fusion in Computer Vision",

}

RIS

TY - CHAP

T1 - Using crowdsourcing to capture complexity in human interpretations of multimedia content

AU - Larson, Martha

AU - Melenhorst, Mark

AU - Menendez Blanco, Maria

AU - Xu, Peng

PY - 2014

Y1 - 2014

N2 - Large-scale crowdsourcing platforms are a key tool allowing researchers in the area of multimedia content analysis to gain insight into how users interpret social multimedia. The goal of this article is to support this process in a practical manner that opens the path for productive exploitation of complex human interpretations of multimedia content within multimedia systems. We first discuss in detail the nature of complexity in human interpretations of multimedia, and why we, as researchers, should look outward to the crowd, rather than inward to ourselves, to determine what users consider important about the content of images and videos. Then, we present strategies and insights from our own experience in designing tasks for crowdworkers. Our techniques are useful to researchers interested in eliciting information about the elements and aspects of multimedia that are important in the contexts in which humans use social multimedia.

AB - Large-scale crowdsourcing platforms are a key tool allowing researchers in the area of multimedia content analysis to gain insight into how users interpret social multimedia. The goal of this article is to support this process in a practical manner that opens the path for productive exploitation of complex human interpretations of multimedia content within multimedia systems. We first discuss in detail the nature of complexity in human interpretations of multimedia, and why we, as researchers, should look outward to the crowd, rather than inward to ourselves, to determine what users consider important about the content of images and videos. Then, we present strategies and insights from our own experience in designing tasks for crowdworkers. Our techniques are useful to researchers interested in eliciting information about the elements and aspects of multimedia that are important in the contexts in which humans use social multimedia.

U2 - 10.1007/978-3-319-05696-8_10

DO - 10.1007/978-3-319-05696-8_10

M3 - Book chapter

SP - 229

EP - 269

BT - Fusion in Computer Vision

ER -

ID: 176821002