Invention Grant
- Patent Title: Source-consistent techniques for predicting absolute perceptual video quality
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Application No.: US15782586Application Date: 2017-10-12
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Publication No.: US10798387B2Publication Date: 2020-10-06
- Inventor: Zhi Li , Anne Aaron , Anush Moorthy , Christos Bampis
- Applicant: NETFLIX, INC.
- Applicant Address: US CA Los Gatos
- Assignee: NETFLIX, INC.
- Current Assignee: NETFLIX, INC.
- Current Assignee Address: US CA Los Gatos
- Agency: Artegis Law Group, LLP
- Main IPC: H04N19/154
- IPC: H04N19/154 ; H04N19/59 ; H04N21/647 ; H04N19/146 ; H04N21/234 ; H04N21/2343 ; H04N17/00 ; H04N19/00 ; H04N19/593

Abstract:
In various embodiments, a perceptual quality application computes an absolute quality score for encoded video content. In operation, the perceptual quality application selects a model based on the spatial resolution of the video content from which the encoded video content is derived. The model associates a set of objective values for a set of objective quality metrics with an absolute quality score. The perceptual quality application determines a set of target objective values for the objective quality metrics based on the encoded video content. Subsequently, the perceptual quality application computes the absolute quality score for the encoded video content based on the selected model and the set of target objective values. Because the absolute quality score is independent of the quality of the video content, the absolute quality score accurately reflects the perceived quality of a wide range of encoded video content when decoded and viewed.
Public/Granted literature
- US20180167619A1 SOURCE-CONSISTENT TECHNIQUES FOR PREDICTING ABSOLUTE PERCEPTUAL VIDEO QUALITY Public/Granted day:2018-06-14
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