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Richard Smith-Unna added overview.md
almost 10 years ago
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## Overview
We have developed image and vector processing technology which can reconstruct semantic data from a wide range of diagrams. Users may start with PDF documents, PNG or JPEG diagrams, or other sources of vectors (Word or Powerpoint EWF, Postscript, etc.). AMI is a work-in-progress being deployed to alpha-testers especially in chemistry and phylogentics. The overall process is:
* dissect and restructure PDFs and extract images.
* transform raw images into SVG.
* associate SVG with extracted captions to add semantics and classification.
* from the SVG primitives build domain-independent mid-level graphics objects (boxes, circles, grids, annotations, symbols, etc.)
* use domain-specific heuristics from the classification to create high-level semantic objects (x-y plots, molecular structures, phylogenetic trees, maps, etc.)
