中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

26 records (took 0.102 seconds)

    Techniques for limiting the influence of image enhancement operations on perceptual video quality estimations
    11.
    发明授权
    Techniques for limiting the influence of image enhancement operations on perceptual video quality estimations 有权

    公开(公告)号：US11202103B1

    公开(公告)日：2021-12-14

    申请号：US17157871

    申请日：2021-01-25

    Applicant: NETFLIX, INC.

    Inventor： Zhi Li

    IPC: H04N19/86

    Abstract: 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.

    Techniques for determining an upper bound on visual quality over a completed streaming session
    12.
    发明授权
    Techniques for determining an upper bound on visual quality over a completed streaming session 有权

    公开(公告)号：US10911513B2

    公开(公告)日：2021-02-02

    申请号：US16036600

    申请日：2018-07-16

    Applicant: NETFLIX, INC.

    Inventor： Zhi Li ,  Te-Yuan Huang

    IPC: H04L29/06

    Abstract: In various embodiments, a hindsight application computes a hindsight metric value for evaluation of a video rate selection algorithm. The hindsight application determines a first encoding option associated with a source chunk of a media title based on a network throughput trace and a buffer trellis. The hindsight application determines that the first encoding option is associated with a buffered duration range. The buffered duration range is also associated with a second encoding option that is stored in the buffer trellis. After determining that the first encoding option is associated with a higher visual quality than the second encoding option, the hindsight application stores the first encoding option instead of the second encoding option in the buffer trellis to generate a modified buffer trellis. Finally, the hindsight application computes a hindsight metric value associated with a sequence of encoded chunks of the media title based on the modified buffer trellis.

    Techniques for robustly predicting perceptual video quality
    13.
    发明授权
    Techniques for robustly predicting perceptual video quality 有权

    公开(公告)号：US10827185B2

    公开(公告)日：2020-11-03

    申请号：US15207468

    申请日：2016-07-11

    Applicant: NETFLIX, Inc.

    Inventor： Anne Aaron ,  Zhi Li ,  Todd Goodall

    IPC: H04N19/156 ,  H04N19/86 ,  H04N19/149 ,  H04N19/154 ,  H04N19/00 ,  G06K9/00 ,  H04N17/00

    Abstract: In various embodiments, a quality trainer trains a model that computes a value for a perceptual video quality metric for encoded video content. During a pre-training phase, the quality trainer partitions baseline values for metrics that describe baseline encoded video content into partitions based on genre. The quality trainer then performs cross-validation operations on the partitions to optimize hyperparameters associated with the model. Subsequently, during a training phase, the quality trainer performs training operations on the model that includes the optimized hyperparameters based on the baseline values for the metrics to generate a trained model. The trained model accurately tracks the video quality for the baseline encoded video content. Further, because the cross-validation operations minimize any potential overfitting, the trained model accurately and consistently predicts perceived video quality for non-baseline encoded video content across a wide range of genres.

    Techniques for evaluating a video rate selection algorithm based on a greedy optimization of total download size over a completed streaming session
    15.
    发明授权
    Techniques for evaluating a video rate selection algorithm based on a greedy optimization of total download size over a completed streaming session 有权

    公开(公告)号：US10862942B2

    公开(公告)日：2020-12-08

    申请号：US16036606

    申请日：2018-07-16

    Applicant: NETFLIX, INC.

    Inventor： Te-Yuan Huang ,  Chaitanya Ekanadham ,  Andrew J. Berglund ,  Zhi Li

    IPC: G06F13/00 ,  H04L29/06 ,  H04L12/26

    Abstract: In various embodiments, a hindsight application computes a total download size for a sequence of encoded chunks associated with a media title for evaluation of at least one aspect of a video streaming service. The hindsight application computes a feasible download end time associated with a source chunk of the media title based on a network throughput trace and a subsequent feasible download end time associated with a subsequent source chunk of the media title. The hindsight application then selects an encoded chunk associated with the source chunk based on the network throughput trace, the feasible download end time, and a preceding download end time associated with a preceding source chunk of the media title. Subsequently, the hindsight application computes the total download size based on the number of encoded bits included in the first encoded chunk. The total download size correlates to an upper bound on visual quality.

    Techniques for predicting perceptual video quality based on complementary perceptual quality models
    16.
    发明授权
    Techniques for predicting perceptual video quality based on complementary perceptual quality models 有权

    公开(公告)号：US10721477B2

    公开(公告)日：2020-07-21

    申请号：US15890710

    申请日：2018-02-07

    Applicant: NETFLIX, INC.

    Inventor： Zhi Li ,  Christos Bampis

    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.

    Techniques for limiting the influence of image enhancement operations on perceptual video quality estimations
    18.
    发明授权
    Techniques for limiting the influence of image enhancement operations on perceptual video quality estimations 有权

    公开(公告)号：US11949919B2

    公开(公告)日：2024-04-02

    申请号：US17549793

    申请日：2021-12-13

    Applicant: NETFLIX, INC.

    Inventor： Zhi Li

    IPC: H04N19/86

    CPC classification number: H04N19/86

    Abstract: 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.

    Techniques for increasing the accuracy of subjective quality experiments
    19.
    发明授权
    Techniques for increasing the accuracy of subjective quality experiments 有权

    公开(公告)号：US11363275B2

    公开(公告)日：2022-06-14

    申请号：US16945737

    申请日：2020-07-31

    Applicant: NETFLIX, INC.

    Inventor： Zhi Li

    IPC: H04N19/149 ,  H04N19/154 ,  H04L65/80

    Abstract: In various embodiments, a data optimization application mitigates scoring inaccuracies in subjective quality experiments. In operation, the data optimization application generates a model that includes a first set of individual scores and a first set of parameters. The first set of parameters includes a first subjective score set and a first set of subjective factor sets. The data optimization application performs one or more optimization operations on the first set of parameters to generate a second set of parameters. The second set of parameters includes a second subjective score set and a second set of subjective factor sets, wherein the second subjective score set compensates for at least a first subjective factor set included in the second set of subjective factor sets. The data optimization application also computes a participant evaluation report based on at least a second subjective factor sets included in the second set of subjective factor sets.

    Device-consistent techniques for predicting absolute perceptual video quality
    20.
    发明授权
    Device-consistent techniques for predicting absolute perceptual video quality 有权

    公开(公告)号：US10834406B2

    公开(公告)日：2020-11-10

    申请号：US15782590

    申请日：2017-10-12

    Applicant: NETFLIX, INC.

    Inventor： Zhi Li ,  Anne Aaron ,  Anush Moorthy ,  Christos Bampis

    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 determines an absolute quality score for encoded video content viewed on a target viewing device. In operation, the perceptual quality application determines a baseline absolute quality score for the encoded video content viewed on a baseline viewing device. Subsequently, the perceptual quality application determines that a target value for a type of the target viewing device does not match a base value for the type of the baseline viewing device. The perceptual quality application computes an absolute quality score for the encoded video content viewed on the target viewing device based on the baseline absolute quality score and the target value. Because the absolute quality score is independent of the viewing device, the absolute quality score accurately reflects the perceived quality of a wide range of encoded video content when decoded and viewed on a viewing device.

Patent Agency Ranking