| 摘要 |
<p>Systems and methods are described for a face annotation framework with partial clustering and interactive labeling. In one implementation, an exemplary system automatically groups some images of a collection of images into clusters, each cluster reliably including only images that contain a person's face associated with that cluster. After an initial user-labeling of these clusters with the person's name or other label, the system iteratively proposes subsequent clusters for the user to label, proposing clusters of images that when labeled, produce a maximum information gain at each iteration and minimize the total number of user interactions for labeling the entire collection of images.</p> |
