TagCaptcha: annotating images with CAPTCHAs
Proceedings of the ACM SIGKDD Workshop on Human Computation
Recognizing objects in adversarial clutter: breaking a visual captcha
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
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TPDL'11 Proceedings of the 15th international conference on Theory and practice of digital libraries: research and advanced technology for digital libraries
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We demonstrate our TagCaptcha image annotation system. TagCaptcha presents the user with a number of images that must be correctly labelled in order to pass a human verification test on the web. The images are divided into two subsets: a control or verification set for which annotations are known, and an unknown set for which no verified annotations exist. The verification set is used to control against the tags provided for the unknown set. If the user provides correct verification tags, the tags for the unknown set are promoted. An image with a promoted tag must be validated by other users before it can be classed as annotated and added to the verification set. Given a partially annotated database, the images can be incrementally annotated over time. The TagCaptcha system is intended to replace traditional text-based CAPTCHA systems currently used for human verification on the web in the fight against spam.