Everyone may be a critic, but now Penn State researchers are paving a way for machines to get in on the act. However, the researchers add that their photo-analysis algorithm is designed to offer constructive feedback, not to replace photographers.
Professor James Wang in the College of Information Sciences and Technology (IST) was recently issued US Patent #7,929,805 as a result of his collaborative research in computer security.
Wang received the patent for the image-based CAPTCHAs (Completely Automated Public Test to Tell Computers and Humans Apart) Generation System, which he developed with Jia Li, associate professor of statistics, and Ritendra Datta, a 2009 Penn State doctoral graduate.
IST Professor James Wang returned from Firenze, Italy recently where he presented a paper titled "Determining the Sexual Identities of Prehistoric Cave Artists using Digitized Handprints - A Machine Learning Approach" at the annual ACM International Conference on Multimedia.
While computers can replicate many aspects of human behavior, they do not possess our ability to recognize distorted images, according to a team of Penn State researchers. "Our goal is to seek a better understanding of the fundamental differences between humans and machines and utilize this in developing automated methods for distinguishing humans and robotic programs," said James Z. Wang, associate professor in Penn State's College of Information Sciences and Technology.
An online photo-rating system developed at Penn State is the first publicly available tool for automatically determining the aesthetic value of an image, according to a Penn State researcher involved with the project.
A pair of Penn State researchers has developed a statistical approach, called Automatic Linguistic Indexing of Pictures in Real-Time (ALIPR), that one day could make it easier to search the Internet for photographs. The public can participate in improving ALIPR's accuracy by visiting a designated Web site, http://www.alipr.com, uploading photographs, and evaluating whether the keywords that ALIPR uses to describe the photographs are appropriate.
"We're essentially training computers to be art historians," says James Wang. An assistant professor of information sciences and technology at Penn State, Wang is cataloguing works of Asian art with a newly developed computer program.