Invention Grant
- Patent Title: Techniques for predicting perceptual video quality based on complementary perceptual quality models
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Application No.: US15890710Application Date: 2018-02-07
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Publication No.: US10721477B2Publication Date: 2020-07-21
- Inventor: Zhi Li , 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 ; H04N21/235 ; G06N20/20 ; G06K9/00 ; G06K9/03 ; H04N19/136 ; G06T7/00 ; G06N3/08 ; G06K9/62 ; H04N19/91

Abstract:
In various embodiments, an ensemble prediction application computes a quality score for re-constructed visual content that is derived from visual content. The ensemble prediction application computes a first quality score for the re-constructed video content based on a first set of values for a first set of features and a first model that associates the first set of values with the first quality score. The ensemble prediction application computes a second quality score for the re-constructed video content based on a second set of values for a second set of features and a second model that associates the second set of values with the second quality score. Subsequently, the ensemble prediction application determines an overall quality score for the re-constructed video content based on the first quality score and the second quality score. The overall quality score indicates a level of visual quality associated with streamed video content.
Public/Granted literature
- US20190246112A1 TECHNIQUES FOR PREDICTING PERCEPTUAL VIDEO QUALITY BASED ON COMPLEMENTARY PERCEPTUAL QUALITY MODELS Public/Granted day:2019-08-08
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