Soylent grid: It's made of people!
Research output: Contribution to conference › Paper › Research › peer-review
Standard
Soylent grid : It's made of people! / Steinbach, Stephan; Rabaud, Vincent; Belongie, Serge.
2007. Paper presented at 2007 IEEE 11th International Conference on Computer Vision, ICCV, Rio de Janeiro, Brazil.Research output: Contribution to conference › Paper › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - CONF
T1 - Soylent grid
T2 - 2007 IEEE 11th International Conference on Computer Vision, ICCV
AU - Steinbach, Stephan
AU - Rabaud, Vincent
AU - Belongie, Serge
PY - 2007
Y1 - 2007
N2 - The ground truth labeling of an image dataset is a task that often requires a large amount of human time and labor. We present an infrastructure for distributed human labeling that can exploit the modularity of common vision problems involving segmentation and recognition. We present the different elements of this infrastructure in detail, in particular the different vision Human Computational Tasks (HCTs) and Machine Computable Tasks (MCTs). We also discuss the impact of such a system on internet security vs. the current state of the art. Finally, we present our prototype implementation of such a system, named SOYLENT GRID, on typical problems.
AB - The ground truth labeling of an image dataset is a task that often requires a large amount of human time and labor. We present an infrastructure for distributed human labeling that can exploit the modularity of common vision problems involving segmentation and recognition. We present the different elements of this infrastructure in detail, in particular the different vision Human Computational Tasks (HCTs) and Machine Computable Tasks (MCTs). We also discuss the impact of such a system on internet security vs. the current state of the art. Finally, we present our prototype implementation of such a system, named SOYLENT GRID, on typical problems.
UR - http://www.scopus.com/inward/record.url?scp=51049098928&partnerID=8YFLogxK
U2 - 10.1109/ICCV.2007.4409122
DO - 10.1109/ICCV.2007.4409122
M3 - Paper
AN - SCOPUS:51049098928
Y2 - 14 October 2007 through 21 October 2007
ER -
ID: 302051846