Visual representation of music score

Pochynok, Yuliia

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2022
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dc.contributor.author	Pochynok, Yuliia
dc.date.accessioned	2024-02-14T08:29:00Z
dc.date.available	2024-02-14T08:29:00Z
dc.date.issued	2022
dc.identifier.citation	Pochynok, Yuliia. Visual representation of music score / Pochynok, Yuliia.; Supervisor: Andiy Gazin; Ukrainian Catholic University, Department of Computer Sciences. – Lviv: 2022. – 57 p.	uk
dc.identifier.uri	https://er.ucu.edu.ua/handle/1/4389
dc.language.iso	en	uk
dc.title	Visual representation of music score	uk
dc.type	Preprint	uk
dc.status	Публікується вперше	uk
dc.description.abstracten	Music has been a significant part of human life from the beginning of time and grew even closer with the development and dissemination of streaming platforms in the market. Although the accessibility of classical music has reached its peak compering to old times when listening to famous musicians and composers was a privilege for the upper class, the visual representation of classical pieces remained fairly blank and unoriginal, with no references to actual music. Therefore this project focuses on creating a visual illustration of the music score, that will serve as a good portrayal of classical composition, taking into account its properties such as instruments, music key, notes duration, etc. Four different approaches with a selection of additional attributes were implemented, encoding music score data into colour, opacity, width, size, amount, position, etc. As a result, an approximate amount of 480 slightly different variations of album/song covers can be generated for one music composition.	uk