A more effective way to label affective expressions
Name
Eckhardt-2009-A more effective way to label affective expressions.pdf
Size
498.62 KB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Eckhardt, Micah Rye
Picard, Rosalind W.
Date Issued
September 2009
Journal
International Conference on Affective Computing and Intelligent Interaction and Workshops
Publisher
Institute of Electrical and Electronics Engineers
Citation
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
Version
Final published version
Abstract
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.
MIT Department
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
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.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ACII.2009.5349528
