Recognition and reconstruction of primitives in music scores
Identifieur interne : 000B41 ( Istex/Corpus ); précédent : 000B40; suivant : 000B42Recognition and reconstruction of primitives in music scores
Auteurs : K. C. Ng ; R. D. BoyleSource :
- Image and Vision Computing [ 0262-8856 ] ; 1994.
Abstract
Music recognition bears similarities and differences to OCR. In this paper we identify some of the problems peculiar to musical scores, and propose an approach which succeeds in a wide range of non-trivial cases. The composer customarily proceeds by writing notes, then stems, beams, ties and slurs — we have inverted this approach by segmenting and then subsegmenting scores to recapture the component parts of symbols. In this paper, we concentrate on the strategy of recognizing sub-segmented primitives, and the reassembly process which reconstructs low level graphical primitives back to musical symbols. The sub-segmentation process proves to be worthwhile, since many primitives complement each other and high level musical theory can be employed to enhance the recognition process.
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DOI: 10.1016/0262-8856(95)01038-6
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The sub-segmentation process proves to be worthwhile, since many primitives complement each other and high level musical theory can be employed to enhance the recognition process.</abstract><subject><genre>Keywords</genre><topic>Document analysis</topic><topic>OCR</topic><topic>Score recognition</topic></subject><relatedItem type="host"><titleInfo><title>Image and Vision Computing</title></titleInfo><titleInfo type="abbreviated"><title>IMAVIS</title></titleInfo><genre type="Journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">199602</dateIssued></originInfo><identifier type="ISSN">0262-8856</identifier><identifier type="PII">S0262-8856(00)X0015-7</identifier><part><date>199602</date><detail type="issue"><title>Image and Vision Computing Journal on Vision-Based Aids for the Disabled</title></detail><detail type="volume"><number>14</number><caption>vol.</caption></detail><detail type="issue"><number>1</number><caption>no.</caption></detail><extent unit="issue pages"><start>3</start><end>88</end></extent><extent unit="pages"><start>39</start><end>46</end></extent></part></relatedItem><identifier type="istex">941463C21D67B84996EDC75110B95E2D9B1C31AC</identifier><identifier type="DOI">10.1016/0262-8856(95)01038-6</identifier><identifier type="PII">0262-8856(95)01038-6</identifier><recordInfo><recordContentSource>ELSEVIER</recordContentSource></recordInfo></mods></metadata><enrichments><istex:catWosTEI uri="https://api.istex.fr/document/941463C21D67B84996EDC75110B95E2D9B1C31AC/enrichments/catWos"><teiHeader><profileDesc><textClass><classCode scheme="WOS">COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE</classCode><classCode scheme="WOS">COMPUTER SCIENCE, SOFTWARE ENGINEERING</classCode><classCode scheme="WOS">COMPUTER SCIENCE, THEORY & METHODS</classCode><classCode scheme="WOS">ENGINEERING, ELECTRICAL & ELECTRONIC</classCode><classCode scheme="WOS">OPTICS</classCode></textClass></profileDesc></teiHeader></istex:catWosTEI></enrichments></istex></record>Pour manipuler ce document sous Unix (Dilib)
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