Video Multimethod Assessment Fusion

Video Multimethod Assessment Fusion (VMAF) aims to objectively measure video quality by combining multiple assessment methods. Current research focuses on extending VMAF's capabilities, including adapting it for audio quality assessment and improving its implementation for efficient computation and gradient-based optimization within machine learning frameworks. These advancements are significant for improving video and audio compression techniques, facilitating collaborative video annotation and analysis in fields like medical imaging, and providing more accurate quality metrics for various applications.