1. A method for use in automated recognition of a media item, the method comprising: storing in a digital memory a template that comprises multiple segmentation maps, wherein each of the segmentation maps is associated with one of multiple classes to which the media item might belong, wherein each of the segmentation maps includes segments defining one or more different features of a corresponding class, and where each of the segments is defined by clustering pixels utilizing measured intensity values of the pixels; accessing by a computer the template; and for each of the multiple classes: applying by the computer the segmentation map of the class to an image of the media item to extract a feature set for the image; and analyzing by the computer the feature set including comparing the features to the feature set and assessing whether the media item belongs to the class.