Image repository for human interaction proofs

Details Image repository for human interaction proofs Image repository for human interaction proofs

2011-03-29

2011-03-29

Vo, Tim T. (Department: 2168)

Data processing: database and file management or data structures

Database and file access

Preparing data for information retrieval

C707S754000

Reexamination Certificate

active

07917508

ABSTRACT:
A method of populating an image repository is disclosed. The method includes identifying a keyword from a dictionary and querying an image source using the keyword, thereby yielding a set of images associated with the keyword. The method also includes performing a second query on the image source using a combination of the keyword and one or more additional terms, thereby yielding a plurality of images associated with the combination. Then the plurality of images associated with the combination is subtracted from the set of images associated with the keyword, thereby yielding a difference set of images which are added to the image repository if the difference set of images satisfies predefined criteria.

REFERENCES:
patent: 6195698 (2001-02-01), Lillibridge et al.
patent: 6366683 (2002-04-01), Langlotz
patent: 7747614 (2010-06-01), Freeman et al.
patent: 2001/0003182 (2001-06-01), Labelle
patent: 2003/0195883 (2003-10-01), Mojsilovic et al.
patent: 2004/0199597 (2004-10-01), Libbey et al.
patent: 2005/0246321 (2005-11-01), Mahadevan et al.
patent: 2007/0009178 (2007-01-01), Kim et al.
patent: 2007/0026372 (2007-02-01), Huelsbergen
Baluja, S., et al., “Large Scale Performance Measurement of Content-Based Automated Image-Orientation Detection,” IEEE Conference on Image Processing, vol. 2, Sep. 11-14, 2005.
Brill, E., “A Simple Rule-Based Part of Speech Tagger,” Proceedings of the 3rdConf. on Applied Computational Linguistics (ACL), Trento, Italy, 1992, pp. 112-116.
Capili, R., “Verify All Humans!,” Webmonkey/programming/, http://www.webmonkey.com//templates/print—template, 9 pgs., Nov. 23, 2005.
Chellapilla, K., et al. “Computers Beat Humans at Single Character Recognition in Reading Based Human Interaction Proofs (HIPS),” in Proceedings of the 3rdConf. on Email and Anti-Spam, Jul. 2005.
Chen, Y., et al., “Content-Based Image Retrievel by Clustering,” MIR '03, Berkeley, California, Nov. 7, 2003.
Dai, Y., et al., “Image Clustering Using Semantic Tolerance Relation Model,” Processings of the IASTED European Conf. Internet and Multimedia Systems and Applications, Chamonix, France, Mar. 14-16, 2007, pp. 278-283.
Goldberger, J., et al., “Unsupervised Image Clustering Using the Information Bottleneck Method,” Pattern Recognition: 24thDAGM Symposium, Zurich, Switzerland, Sep. 16-18, 2002.
Greenspan, H., et al., “Probabilistic Models for Generating, Modelling and Matching Image Categories,” Proceedings of the Int'l Conf. on Pattern Recognition, Quebec, Aug. 2002.
Jing, Y., et al., “Canonical Image Selection from the Web,” CIVR '07, Amsterdam, the Netherlands, Jul. 9-11, 2007.
Kesmodel, D., “Codes on Sites ‘Captcha’ Anger of Web Users,” The Wall Street Journal Online, http://www.online.wsj.com/public/article, 3 pgs., May 31, 2006.
Koshman, S., et al., “Web Searching on the Vivisimo Search Engine,” J. of the American Society of Information Science and Technology, vol. 57, No. 14, Oct. 2, 2006, pp. 1875-1887.
Lim, J., et al. “Image Clustering with Metric, Local Linear Structure and Affine Symmetry,” Lecture Notes in Computer Science, Computer Vision—ECCV 2004.
Lopresti, D., “Leveraging the CAPTCHA Problem,” 2ndInt'l Workshop on Human Interactive Proofs, Bethlehem, PA, May 2005.
Lopresti, D., “Leveraging the CAPTCHA Problem,” Computer Science & Engineering, Lehigh Univ.
Mori, G., et al., “Recognizing Objects in Adversarial Clutter: Breaking a Visual CAPTCHA,” in Proceedings of Computer Vision and Pattern Recognition, 2003.
Moy, G., et al., “Distortion Estimation Techniques in Solving Visual CAPTCHAs,” IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, Issue 27, Jul. 2004.
Rowley, H.A., et al., “Neural Network-Based Face Detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, No. 1, Jan. 1998.
Rui, Y., et al., “Characters and Faces: A User Study on Ease of Use for HIPs,” Lecture Notes in Computer Science, Springer Berlin, 2005.
Swets, D.L., et al., “Hierarchical Discriminant Analysis for Image Retrieval,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 21, Issue 5, May 1999, pp. 386-401.
Vailaya, A., et al., “Automatic Image Orientation Detection,” IEEE Transactions on Image Processing, vol. 11, No. 7, Jul. 2002.
Viola, P., et al., “Rapid Object Detection Using a Boosted Cascade of Simple Features,” in Proceedings of Computer Vision and Pattern Recognition, pp. 511-518, 2001.
Von Ahn, L., et al., “Telling Humans and Computers Apart Automatically,” Communications on the ACM, vol. 47, No. 2, Feb. 2004.
Von Ahn, L., et al., “CAPTCHA: Using Hard AI Problems for Security,” in EUROCRYPT, 2003.
Wu, V., et al., “TextFinder: An Automatic System to Detect and Recognize Text in Images,” Computer Science Dept., Univ. of Massachusetts, Jun. 10, 1999.
Wu, V., et al. “Finding Text in Images,” Proceedings of the 2ndACM Int'l Conf. on Digital Libraries, 1997.
Zeng, H-J., et al., “Learning to Cluster Web Search Results,” SIGIR '04, Sheffield, South Yorkshire, UK, Jul. 25-29, 2004.
Zhang, L., et al., “Boosting Image Orientation Detection with Indoor vs. Outdoor Classification,” IEEE Workshop on Applications of Computer Vision, Orlando, Florida, Dec. 3-4, 2002.
“CAPTCHA: Telling Humans and Computers Apart Automatically,” Carnegie Mellon University, http://www.captcha.net, 2000.

Affiliated with

Also associated with

Rating

Image repository for human interaction proofs does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Image repository for human interaction proofs, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Image repository for human interaction proofs will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-2623192