Evaluating InkML for Random-Access Navigation of Massive Handwritten Ink Documents

This paper shows the relationship between the volumes of digital ink data ‐ accorded to W3C’s Ink Markup Language (InkML) specifications ‐ and the time it takes to render them on screen for practical random access replay of freehand writings. We present the notion of real-time random access navigation in ink documents as implemented for eLearning domains, and highlight the significance of rendering freehand ink traces in a manner that replays the data stream in exactly the same way as per recorded. We illustrate the above relationship through the discussions of our experimental results, and then recommend an open set of rules for handling massive handwritten ink documents, in general.