Current uses of tagged images typically exploit only the most explicit information: the link
between the nouns named and the objects present somewhere in the image. We propose to
leverage “unspoken” cues that rest within an ordered list of image tags so as to improve
object localization. We define three novel implicit features from an image's tags-the relative
prominence of each object as signified by its order of mention, the scale constraints implied
by unnamed objects, and the loose spatial links hinted at by the proximity of names on the …