23. The system of claim 22 , wherein the classification engine is further operable to weight each probability value according to a confidence factor for a zoning engine for which the probability value was obtained and to sum the weighted probability values.
22. The system of claim 21 , wherein the classification engine is operable to: obtain 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; map each probability data set to one or more corresponding tessellated regions; for each probability data set mapped to a particular tessellated region, sum the probability values for each content type; and predict 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 classify each tessellated region at least partially according to its predicted content type.