MAV-C: A Framework for the Joint Objective Estimation of Audio-Visual Complexity in Immersive Virtual Environments
MAV-C estimates how complex an immersive virtual environment is to see and hear. It combines audio features (temporal, spectral and spatial) with visual features (edges, colour and motion) into a single score that changes over time, without needing a reference recording.
Summary and key findings: MAV-C: A Framework for the Joint Objective Estimation of Audio-Visual Complexity in Immersive Virtual Environments PDF of MAV-C: A Framework for the Joint Objective Estimation of Audio-Visual Complexity in Immersive Virtual Environments (accepted version)