TECHNIQUES FOR LIMITING THE INFLUENCE OF IMAGE ENHANCEMENT OPERATIONS ON PERCEPTUAL VIDEO QUALITY ESTIMATIONS
Patent №
US 11,202,103
Granted
2021-12-14
Filed 2021
Owner
NETFLIX, INC.
Lab
—
AI components
4
ml · vision · planning · evo
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
17157871
In various embodiments, a tunable VMAF application reduces an amount of influence that image enhancement operations have on perceptual video quality estimates. In operation, the tunable VMAF application computes a first value for a first visual quality metric based on reconstructed video content and a first enhancement gain limit. The tunable VMAF application computes a second value for a second visual quality metric based on the reconstructed video content and a second enhancement gain limit. Subsequently, the tunable VMAF application generates a feature value vector based on the first value for the first visual quality metric and the second value for the second visual quality metric. The tunable VMAF application executes a VMAF model based on the feature value vector to generate a tuned VMAF score that accounts, at least in part, for at least one image enhancement operation used to generate the reconstructed video content.
AI classification
Ownership
NETFLIX, INC.
assignment · 583350531
Assignors
LI, ZHI
On an employer assignment, the assignors are typically the inventors.