An imaging data stream language, such as, but not limited to an LCDS language can be provided such that a plurality of objects to be rendered are divided into a plurality of categories, wherein each object among the plurality of objects are utilized in association with a plurality of callouts. Each object among the group of objects can be processed separately via a processor from each callout among the plurality of callouts, thereby permitting any of the objects among the plurality of objects to be utilized with any callout among the plurality of callouts in order to efficiently render the plurality of objects utilizing the imaging data stream language. In general, one or more objects can be processed independently of each callout among the plurality of callouts in order to determine a plurality of standard attributes thereof, wherein the plurality of attributes are determined based on at least one object type. Additionally, one or more standard attributes among the plurality of attributes can include, for example, but not limited, the natural size or natural orientation of the object type.

 
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