Abstract: Provided is a method for the automated selection of sample documents or pages from a large collection, and more particularly an application of the method in a proof presentment environment—where the method is employed for selection and review of representative or extreme pages from a large document, such as one scheduled for printing. The method characterizes pages or documents in a multi-dimensional vector space based upon a set of characteristics, and then uses clustering techniques to group the pages, enabling the selection of typical pages from the groups, and/or outlier pages from extremes lying outside of the groups.

Abstract: Methods and systems for maintaining color consistency in print-on-demand applications are disclosed. Initially, a plurality of default color settings applicable to a plurality of print-on-demand operations can be established. Thereafter, color consistency can be selectively imposed across a plurality of print-on-demand operations based on the plurality of default color settings applicable to the plurality of print-on-demand operations. Finally, a print-on-demand media product can be rendered in response to selectively imposing color consistency across the plurality of print-on-demand operations. An end-to-end print-on-demand workflow is therefore disclosed herein that describes how to create and print color books while maintaining color consistent at each step of in the work follow.