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Labeling images with a computer game
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Source Conference on Human Factors in Computing Systems archive
Proceedings of the SIGCHI conference on Human factors in computing systems table of contents
Vienna, Austria
Pages: 319 - 326  
Year of Publication: 2004
ISBN:1-58113-702-8
Authors
Luis von Ahn  Carnegie Mellon University, Pittsburgh, PA
Laura Dabbish  Carnegie Mellon University, Pittsburgh, PA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
ACM: Association for Computing Machinery
SIGCAPH: ACM SIGCAPH Computers and the Physically Handicapped
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGGROUP: ACM Special Interest Group on Supporting Group Work
SIGDOC : ACM Special Interest Group on Systems Documentation
Publisher
ACM  New York, NY, USA
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ABSTRACT

We introduce a new interactive system: a game that is fun and can be used to create valuable output. When people play the game they help determine the contents of images by providing meaningful labels for them. If the game is played as much as popular online games, we estimate that most images on the Web can be labeled in a few months. Having proper labels associated with each image on the Web would allow for more accurate image search, improve the accessibility of sites (by providing descriptions of images to visually impaired individuals), and help users block inappropriate images. Our system makes a significant contribution because of its valuable output and because of the way it addresses the image-labeling problem. Rather than using computer vision techniques, which don't work well enough, we encourage people to do the work by taking advantage of their desire to be entertained.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
AltaVista Company. Altavista Search Home. http://www.altavista.com/
 
2
Barnard, K., Duygulu, P., and Forsyth, D. A. Clustering Art. IEEE conference on Computer Vision and Pattern Recognition, 2001, pages 434--441.
 
3
Barnard, K., and Forsyth, D. A. Learning the Semantics of Words and Pictures. International Conference of Computer Vision, 2001, pages 408--415.
 
4
Carson, C., and Ogle, V. E. Storage and Retrieval of Feature Data for a Very Large Online Image Collection <http://elib.cs.berkeley.edu/papers/dataeng.html>. IEEE Computer Society Bulletin of the Technical Committee on Data Engineering, 1996, Vol. 19 No. 4.
 
5
Columbia University Center for Telecommunications Research. webSEEK. www.ctr.columbia.edu/webseek/
 
6
Corbis. Stock Photography and Pictures. http://www.corbis.com/
 
7
 
8
Electronic Arts. Pogo.com. http://www.pogo.com
 
9
 
10
Google Inc. Google Web Search. http://www.google.com
11
 
12
Microsoft Corporation. MSN Gaming Zone. http://zone.msn.com
 
13
Milliman, R. E. Website Accessibility And The Private Sector. www.rit.edu/~easi/itd/itdv08n2/milliman.html
 
14
N2H2, Inc. N2H2 Filter. http://www.n2h2.com
 
15
O'Connor, B. and O'Connor, M. Categories, Photographs & Predicaments: Exploratory Research on Representing Pictures for Access. Bulletin of the American Society for Information Science 25.6, 1999, page 17--20.
 
16
Random Bounce Me Website. http://random.bounceme.net/
 
17
 
18
Stork, D. G. and Lam C. P. Open Mind Animals: Ensuring the quality of data openly contributed over the World Wide Web. AAAI Workshop on Learning with Imbalanced Data Sets, 2000, pages 4--9.
 
19
Stork, D. G. The Open Mind Initiative. IEEE Intelligent Systems & Their Applications, 14-3, 1999, pages 19--20.
 
20
Trask, R. L. Language Change. Routledge, 1994
 
21
Yahoo!, Inc. Yahoo! Games. http://games.yahoo.com

CITED BY  102

Collaborative Colleagues:
Luis von Ahn: colleagues
Laura Dabbish: colleagues