Retrieval of Images of People from the Web

Tuesday, January 30, 2001 - 11:00am - 12:00pm
Lind 400
Clement Yu (University of Illinois at Urbana-Champaign)
We build an image search engine which retrieves images of a person, given his/her name. The search engine depends on two types of evidence: visual and textual. A face detection module determines if a given image has a human face. A face recognition module determines a degree of similarity between a Web image from a database of images of persons. A text analysis module determines a degree of similarity between the texts surrounding the image and the name of the person. The outputs of these three modules are combined in different ways to determine the likelihood that a Web image contains the image of the person. Experimental results are provided to demonstrate that our system is superior to existing commercial systems and research prototypes. A feedback mechanism is being added to our system.