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- W624989850 abstract "Optical music recognition (OMR) and optical character recognition (OCR) have traditionally been used for document transcription—that is, extracting text or symbolic music from page images for use in an editor while discarding all spatial relationships between the transcribed notation and the original image. In this paper we discuss how OCR has shifted fundamentally from a transcription tool to an indexing tool for document image collections resulting from large digitization efforts. OMR tools and procedures, in contrast, are still focused on small-scale modes of operation. We argue that a shift in OMR development towards document image indexing would present new opportunities for searching, browsing, and analyzing large musical document collections. We present a prototype system we built to evaluate the tools and to develop practices needed to process print and manuscript sources." @default.
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- W624989850 date "2012-01-01" @default.
- W624989850 modified "2023-09-23" @default.
- W624989850 title "DIGITAL DOCUMENT IMAGE RETRIEVAL USING OPTICAL MUSIC RECOGNITION" @default.
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