Renotation from Optical Music Recognition

We describe the music renotation problem, in which one transforms a collection of recognized music notation primitives (e.g. note heads, stems, beams, flags, clefs, accidentals, etc.) into a different notation format, such as transposing the notation or displaying it in a rectangle or arbitrary size. We represent a limited degree of image understanding through a graph that connects pairs of symbols sharing layout constraints that must be respected during renotation. The layout problem is then formulated as the optimization of a convex objective function expressed as a sum of penalty terms, one for each edge in the graph. We demonstrate results by generating transposed parts from a recognized