Automatic feedback for content based image retrieval on the Web
Y. Alp Aslandogan, C. Yu · 2003
We address the problem of identifying images of persons in large collections, such as the Web, without an existing face image database. We describe a method and a system that automatically constructs an initial face image database for a person using textual evidence obtained from the Web, and then uses this database for identifying images of that person. The initial retrieval results are obtained via text/HTML analysis and face detection. An internal clustering process groups visually similar faces among these initial results and builds a facial database. This database is then used by a face recognizer. The outputs of the textual and visual evidence modules are combined using Dempster-Shafer (1976) evidence combination formula. We present the results of an experimental evaluation where the system was able to improve upon the detection-only method when text/HTML analysis performed poorly.