Fitur Pengambilan Konten Video Musik Berbasis Lagu Afektif

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Published: May 31, 2021
DOI: https://doi.org/10.52005/fidelity.v3i2.94
(Abstract view) : 66
(PDF download) : 62
Keywords:
Analisis konten afektif kategoris, visualisasi afektif, model afektif dimensional, Hidden Markov Models (HMMs)

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Paiz Ilham Mauludi
R&D PT. Hirdy Eka Mandiri Bekasi

Abstract

Karena ringkas, kemudahan bermain, dan karakter yang dapat memberikan penonton pengalaman aural dan visual, MTV telah menjadi rekreasi favorit yang penting bagi orang-orang modern. Representasi dan pengelompokan adalah teknik analisis MTV yang tepat untuk mengekstraksi keadaan afektif MTV. Untuk memulai, input pendengaran dan visual dianalisis untuk aspek eksperimental. Model efektif dimensi 2D digunakan untuk memodelkan setiap keadaan afektif MTV, kemudian divisualisasikan dalam ruang Arousal-Valence. Akhirnya, MTV dengan keadaan afektif yang serupa dikelompokkan ke dalam kategori yang serupa. Studi pengguna subjektif menunjukkan validitas kerangka yang diusulkan, dan pekerjaan terkait menunjukkan bahwa fitur kami secara signifikan meningkatkan kinerja.

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How to Cite
[1]
P. Ilham Mauludi, “Fitur Pengambilan Konten Video Musik Berbasis Lagu Afektif”, Fidelity, vol. 3, no. 2, pp. 36-40, May 2021.
Issue
Vol 3 No 2 (2021): Edition for May 2021
Section
Articles

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Received 2021-03-06
Accepted 2021-04-09
Published 2021-05-31

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