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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/F21A56EE-5B36-4E84-BF15-FDB458DD3E61 | - |
| Identifier | https://doi.org/10.26233/heallink.tuc.42827 | - |
| Language | en | - |
| Extent | 87 pages | en |
| Title | Research and implementation of Android based optical music recognition | en |
| Creator | Papadopoulou Sofia | en |
| Creator | Παπαδοπουλου Σοφια | el |
| Contributor [Thesis Supervisor] | Papaefstathiou Ioannis | en |
| Contributor [Thesis Supervisor] | Παπαευσταθιου Ιωαννης | el |
| Contributor [Committee Member] | Dollas Apostolos | en |
| Contributor [Committee Member] | Δολλας Αποστολος | el |
| Contributor [Committee Member] | Zervakis Michalis | en |
| Contributor [Committee Member] | Ζερβακης Μιχαλης | el |
| Publisher | Πολυτεχνείο Κρήτης | el |
| Publisher | Technical University of Crete | en |
| Academic Unit | Technical University of Crete::School of Electronic and Computer Engineering | en |
| Academic Unit | Πολυτεχνείο Κρήτης::Σχολή Ηλεκτρονικών Μηχανικών και Μηχανικών Υπολογιστών | el |
| Content Summary | As stated on Gerd Castan’s page about OMR, “Doing OMR is hard. Very hard. If you follow the OMR science links you will find much more theses about OMR than there are public available programs”. The motivation behind this thesis was to bring music to life. It is a great opportunity to have the software that can instantly produce a song from a sheet music in a course book. Presently, the respective commercial software is mainly available on a desktop platform, which requires a high-performance computer and a scanner to scan a sheet music. This project will survey the different techniques that have been used to perform OMR on printed music scores and an application by the name of AOMR will be developed. AOMR project renovates this kind of software by applying it on a mobile platform instead. This application, which highly involves image processing techniques and artificial intelligence applications, can recognize a scanned image of sheet music to be interpreted and exported as an audible representation via MIDI synthesis while handling resource utilization on an Android mobile phone platform. Limited processing performance and memory capacity, including the lack of image processing and other related APIs, are major issues that cause the algorithms used in the application to be different from traditional approaches applied in software on a PC platform. Such program is meant not only to be a simple OMR application but also the starting point for a future work about specialists having an interactive software to rely on for both as a practical tool for work and educational purposes. | en |
| Type of Item | Διπλωματική Εργασία | el |
| Type of Item | Diploma Work | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-10-15 | - |
| Date of Publication | 2015 | - |
| Subject | Android G1 (Smartphone) | en |
| Subject | Era G1 (Smartphone) | en |
| Subject | Google G1 (Smartphone) | en |
| Subject | HTC Dream (Smartphone) | en |
| Subject | HTC G1 (Smartphone) | en |
| Subject | T-Mobile G1 (Smartphone) | en |
| Subject | g1 smartphone | en |
| Subject | android g1 smartphone | en |
| Subject | era g1 smartphone | en |
| Subject | google g1 smartphone | en |
| Subject | htc dream smartphone | en |
| Subject | htc g1 smartphone | en |
| Subject | t mobile g1 smartphone | en |
| Bibliographic Citation | Sofia Papadopoulou, "Research and implementation of Android based optical music recognition ", Diploma Work, School of Electronic and Computer Engineering, Technical University of Crete, Chania, Greece, 2015 | en |
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