Sfoglia per Relatore
Virtual Reality Re-activation of Multimedia Installation art
2024/2025 TAHERZADEH, FATEMEH
Vowel Recognition in SoundRise: A Machine Learning Approach to Improve Accuracy and Reliability
2024/2025 FRIGATO, FRANCESCO
whatImeant.: Building an LLM-Driven Engine for Music Semantics Discovery
2025/2026 BRENTEL, NICOLAS
whatImeant.: Designing an AI-powered Interface for Music Semantics Discovery
2025/2026 LAGHETTO, STEVEN
"Zero-Touch Music Detection and Classification for Internet of Audio Things under Real-World Acoustic Conditions"
2025/2026 CHOHAN, TAIMOOR FAYAZ
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2024 | Virtual Reality Re-activation of Multimedia Installation art | Interactive multimedia artworks face unique preservation challenges, including the obsolescence of original components, software, and playback devices, as well as their interactive and time-based nature. To address these challenges, the Centro di Sonologia Computazionale (CSC) at the University of Padova has been developing the Multilevel Dynamic Preservation (MDP) model since 2014. This model views multimedia artworks as dynamic objects, enabling a deeper understanding of their complexity and ensuring long-term preservation.The research team of CSC started towork together with Italian artist Roberto Taroni, who often combined music and visual arts in his works.This thesis concerns reactivation in VR of Roberto Taroni's artwork"Casa Dolce Cass". Central to this effort is the creation of a virtual 3D environment designed to host Taroni’s artwork Casa Dolce Casa. This digital reconstruction showcases two of Taroni’s videos, which are dynamically played, moved, and overlapped at specific points before resuming their independent movements. By blending artistic expression with engineering precision, the 3D room exemplifies the MDP model’s commitment to preserving both the conceptual and experiential integrity of multimedia artworks. This approach ensures that audiences can engage with these complex works in a manner that remains faithful to their original interactive and immersive nature. | TAHERZADEH, FATEMEH | |
| Lauree magistrali | 2024 | Vowel Recognition in SoundRise: A Machine Learning Approach to Improve Accuracy and Reliability | Vowel Recognition in SoundRise: A Machine Learning Approach to Improve Accuracy and Reliability | FRIGATO, FRANCESCO | |
| Lauree magistrali | 2025 | whatImeant.: Building an LLM-Driven Engine for Music Semantics Discovery | whatImeant.: Building an LLM-Driven Engine for Music Semantics Discovery | BRENTEL, NICOLAS | |
| Lauree magistrali | 2025 | whatImeant.: Designing an AI-powered Interface for Music Semantics Discovery | whatImeant.: Designing an AI-powered Interface for Music Semantics Discovery | LAGHETTO, STEVEN | |
| Lauree magistrali | 2025 | "Zero-Touch Music Detection and Classification for Internet of Audio Things under Real-World Acoustic Conditions" | "Zero-Touch Music Detection and Classification for Internet of Audio Things under Real-World Acoustic Conditions" | CHOHAN, TAIMOOR FAYAZ |
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