A more effective way to label affective expressions

Labeling videos for affect content such as facial expression is tedious and time consuming. Researchers often spend significant amounts of time annotating experimental data, or simply lack the time required to label their data. For these reasons we have developed VidL, an open source video labeling...

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Main Authors: Eckhardt, Micah Rye, Picard, Rosalind W.
Other Authors: Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers 2010
Online Access:http://hdl.handle.net/1721.1/59285
https://orcid.org/0000-0002-1462-4573
https://orcid.org/0000-0002-5661-0022
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author Eckhardt, Micah Rye
Picard, Rosalind W.
author2 Program in Media Arts and Sciences (Massachusetts Institute of Technology)
author_facet Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Eckhardt, Micah Rye
Picard, Rosalind W.
author_sort Eckhardt, Micah Rye
collection MIT
description Labeling videos for affect content such as facial expression is tedious and time consuming. Researchers often spend significant amounts of time annotating experimental data, or simply lack the time required to label their data. For these reasons we have developed VidL, an open source video labeling system that is able to harness the distributed people-power of the internet. Through centralized management VidL can be used to manage data, custom label videos, manage workers, visualize labels, and review coders work. As an example, we recently labeled 700 short videos, approximately 60 hours of work, in 2 days using 20 labelers working from their own computers.
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spelling mit-1721.1/592852022-09-30T15:02:33Z A more effective way to label affective expressions Eckhardt, Micah Rye Picard, Rosalind W. Program in Media Arts and Sciences (Massachusetts Institute of Technology) Picard, Rosalind W. Picard, Rosalind W. Eckhardt, Micah Rye Labeling videos for affect content such as facial expression is tedious and time consuming. Researchers often spend significant amounts of time annotating experimental data, or simply lack the time required to label their data. For these reasons we have developed VidL, an open source video labeling system that is able to harness the distributed people-power of the internet. Through centralized management VidL can be used to manage data, custom label videos, manage workers, visualize labels, and review coders work. As an example, we recently labeled 700 short videos, approximately 60 hours of work, in 2 days using 20 labelers working from their own computers. National Science Foundation (U.S.) (Grant No. 0555411) 2010-10-13T17:29:34Z 2010-10-13T17:29:34Z 2009-09 Article http://purl.org/eprint/type/JournalArticle 978-1-4244-4800-5 INSPEC Accession Number: 11007634 http://hdl.handle.net/1721.1/59285 Eckhardt, M., and R. Picard. “A more effective way to label affective expressions.” Affective Computing and Intelligent Interaction and Workshops, 2009. ACII 2009. 3rd International Conference on. 2009. 1-2. © 2009, IEEE https://orcid.org/0000-0002-1462-4573 https://orcid.org/0000-0002-5661-0022 en_US http://dx.doi.org/10.1109/ACII.2009.5349528 International Conference on Affective Computing and Intelligent Interaction and Workshops Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Institute of Electrical and Electronics Engineers IEEE
spellingShingle Eckhardt, Micah Rye
Picard, Rosalind W.
A more effective way to label affective expressions
title A more effective way to label affective expressions
title_full A more effective way to label affective expressions
title_fullStr A more effective way to label affective expressions
title_full_unstemmed A more effective way to label affective expressions
title_short A more effective way to label affective expressions
title_sort more effective way to label affective expressions
url http://hdl.handle.net/1721.1/59285
https://orcid.org/0000-0002-1462-4573
https://orcid.org/0000-0002-5661-0022
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