Searching and Browsing Video in Face Space

Abstract

We propose an approach to searching and browsing video and multimedia using the results of face clustering. Once a set of faces has been detected we use various techniques to create a set of clusters of faces from a particular video. That set of clusters encourages new approaches to browsing and searching video that are not linguistic and can apply to videos internationally, in any language.