12. The medium of claim 11 , wherein the instructions for classifying include instructions for: obtaining a normalized probability data set for each region identified in each segmented version of the digital image, each set of probability data containing a probability value for each of a plurality of content types; mapping each probability data set to one or more corresponding tessellated regions; for each probability data set mapped to a particular tessellated region, summing the probability values for each content type; and predicting a content type for each tessellated region based at least in part upon a maximum of the summed probability values for that tessellated region; and classifying each tessellated region at least partially according to its predicted content type.
14. The medium of claim 12 , having further instructions for obtaining text for each tessellated region predicted to contain text and wherein the instructions for classifying include instructions for classifying each tessellated region predicted to contain text at least partially according to a percentage of text from that tessellated region that is found in an electronic dictionary.