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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2026.2
- 수록면
- 79 - 100 (22page)
- DOI
- 10.15187/adr.2026.02.39.1.79
이용수
초록· 키워드
Background : Conventional music visualization techniques like spectrograms and particle systems generally rely upon mechanistic algorithmic mappings that inadequately convey the structural coherence and emotional nuances of music. This study explores whether generative patterns drawing on natural forms can surmount these limitations.
Methods : We developed a dynamic phyllotaxis-based visualization algorithm combining the spatial optimization model of Vogel and cubic Bézier curve mappings. The system modulates the divergence angle, radial density, and curvature parameterizing spiral patterns in real time with musical characteristics such as rhythmic intensity, spectral centroid, and amplitude envelope. The technical performance was evaluated against baseline models, and a user study (N = 50) was conducted comparing the proposed method with spectrogram-based visualization.
Results : The proposed algorithm was found to be both less latent (16 ms vs. 82 ms) and more morphologically diverse than traditional Vogel models. Emotional resonance (4.1/5 vs. 2.9/5), visual engagement (4.4/5 vs. 3.2/5), and music synchronization (4.3/5 vs. 3.5/5) were rated higher by users than the spectrogram control.
Conclusions : This study takes a generative approach to music visualization drawing upon phyllotactic patterns to bridge musical structure and visual expression. The findings suggest that nature-inspired generative mechanisms constitute an alternative to conventional visualization methods for creating more engaging audiovisual experiences.
상세정보 수정요청해당 페이지 내 제목·저자·목차·페이지Methods : We developed a dynamic phyllotaxis-based visualization algorithm combining the spatial optimization model of Vogel and cubic Bézier curve mappings. The system modulates the divergence angle, radial density, and curvature parameterizing spiral patterns in real time with musical characteristics such as rhythmic intensity, spectral centroid, and amplitude envelope. The technical performance was evaluated against baseline models, and a user study (N = 50) was conducted comparing the proposed method with spectrogram-based visualization.
Results : The proposed algorithm was found to be both less latent (16 ms vs. 82 ms) and more morphologically diverse than traditional Vogel models. Emotional resonance (4.1/5 vs. 2.9/5), visual engagement (4.4/5 vs. 3.2/5), and music synchronization (4.3/5 vs. 3.5/5) were rated higher by users than the spectrogram control.
Conclusions : This study takes a generative approach to music visualization drawing upon phyllotactic patterns to bridge musical structure and visual expression. The findings suggest that nature-inspired generative mechanisms constitute an alternative to conventional visualization methods for creating more engaging audiovisual experiences.
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목차
- Abstract
- 1. Introduction
- 2. Literature Review
- 3. Method
- 4. Evaluation
- 5. Discussion
- 6. Conclusion
- References
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