Invention Publication
- Patent Title: TECHNIQUES FOR PREDICTING VIDEO QUALITY ACROSS DIFFERENT VIEWING PARAMETERS
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Application No.: US17937033Application Date: 2022-09-30
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Publication No.: US20240121402A1Publication Date: 2024-04-11
- Inventor: Christos G. BAMPIS , Zhi LI
- Applicant: NETFLIX, INC.
- Applicant Address: US CA Los Gatos
- Assignee: NETFLIX, INC.
- Current Assignee: NETFLIX, INC.
- Current Assignee Address: US CA Los Gatos
- Main IPC: H04N19/154
- IPC: H04N19/154 ; H04N19/136 ; H04N19/172 ; H04N19/182 ; H04N19/184 ; H04N19/42

Abstract:
In various embodiments, a quality inference application estimates perceived video quality for reconstructed video. The quality inference application computes a set of feature values corresponding to a set of visual quality metrics based on a reconstructed frame, a source frame, a display resolution, and a normalized viewing distance. The quality inference application executes a trained perceptual quality model on the set of feature values to generate a perceptual quality score that indicates a perceived visual quality level for the reconstructed frame. The quality inference application performs one or more operations associated with an encoding process based on the perceptual quality score.
Public/Granted literature
- US12167000B2 Techniques for predicting video quality across different viewing parameters Public/Granted day:2024-12-10
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