Pregled bibliografske jedinice broj: 1267006
Internet of Musical Things and Music Data Visualization
Internet of Musical Things and Music Data Visualization // MIPRO 2022: 45th Jubilee International Convention on Information, Communication and Electronic Technology: Proceedings / Skala, Karolj (ur.).
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2022. str. 1501-1506 doi:10.23919/mipro55190.2022.9803404 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1267006 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Internet of Musical Things and Music Data Visualization
Autori
Lončar, Paula
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
MIPRO 2022: 45th Jubilee International Convention on Information, Communication and Electronic Technology: Proceedings
/ Skala, Karolj - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2022, 1501-1506
ISBN
978-953-233-103-5
Skup
45th Jubille International Convention on Information, Communication and Electronics Technology, MIPRO 2022
Mjesto i datum
Opatija, Hrvatska, 23.05.2022. - 27.05.2022
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
data visualization ; digital music ; Internet of Musical Things ; IoMusT ; music ; musical interfaces
Sažetak
Data visualization is one of the significant disciplines of data science. This paper presents an overview of the growing research field of the Internet of Musical Things (IoMusT) and the visual aspect of music. The aim is to analyze the mutual influence of information technology and the music domain. The author provides a brief overview of relevant studies in evaluating the usage of various music interactive interfaces. Analysis of different perspectives of music visualization, including visualization of music elements, melodies, musical instruments, discography, and the comparison of music styles are presented. The paper gives a data analysis from one of the leading streaming applications, Spotify, correlating with songs on Billboard charts from the 2010s. The results of data analysis from the music domain are presented graphically. The musical features of several selected popular songs are visualized. Visualization is based on the MIDI format, a format important in creating digital music. New concepts and music data visualization contribute to limitless enrichment of musical possibilities and music content.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus
