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    MEDIA COMPRESSION AND PROCESSING FOR MACHINE-LEARNING-BASED QUALITY METRICS
    1.
    发明申请
    MEDIA COMPRESSION AND PROCESSING FOR MACHINE-LEARNING-BASED QUALITY METRICS 有权

    公开(公告)号：US20250071299A1

    公开(公告)日：2025-02-27

    申请号：US18455298

    申请日：2023-08-24

    Applicant: GOOGLE LLC

    Inventor： Yao-Chung Lin ,  Jingning Han ,  Yilin Wang ,  Yeping Su

    IPC: H04N19/196 ,  H04N19/105 ,  H04N19/176 ,  H04N19/80

    Abstract: Encoding using media compression and processing for machine-learning-based quality metrics includes generating encoded frame data by encoding a current frame from an input video using a neural-network-based video quality model, which includes identifying optimal encoding parameters for encoding a current block, wherein the optimal encoding parameters minimize a rate-distortion optimization cost function, which includes using a gradient value for the current block obtained from a neural-network-based video quality model generated gradient map obtained from the neural-network-based video quality model for the current frame, obtaining a restoration filtered reconstructed frame by restoration filtering a reconstructed frame, obtained by decoding the encoded frame data, using the neural-network-based video quality model generated gradient map obtained for the reconstructed frame.

    Adaptive GOP structure using temporal dependencies likelihood
    2.
    发明授权
    Adaptive GOP structure using temporal dependencies likelihood 有权

    公开(公告)号：US11363262B1

    公开(公告)日：2022-06-14

    申请号：US17121349

    申请日：2020-12-14

    Applicant: GOOGLE LLC

    Inventor： Ching Yin Derek Pang ,  Yeping Su ,  Yao-Chung Lin

    IPC: H04N19/105 ,  H04N19/176 ,  H04N19/177 ,  H04N19/114 ,  H04N19/159

    Abstract: A first aspect is a method for coding a group of pictures (GOP) that includes frames of a video. The method includes encoding, at least some of the frames of the GOP, using a first encoding pass to obtain encoding statistics; obtaining, using the encoding statistics, respective temporal dependency likelihoods (TDLs) for the at least some of the frames of the GOP, where the respective TDLs indicate contributions that the at least some of the frames make in reducing prediction errors of the GOP; obtaining a reference frame based on the respective TDLs; and using the reference frame in encoding at least some of the frames of the GOP in a second encoding pass.

    METHODS AND SYSTEMS FOR ENCODER PARAMETER SETTING OPTIMIZATION
    3.
    发明申请
    METHODS AND SYSTEMS FOR ENCODER PARAMETER SETTING OPTIMIZATION 有权

    公开(公告)号：US20230068026A1

    公开(公告)日：2023-03-02

    申请号：US17462591

    申请日：2021-08-31

    Applicant: Google LLC

    Inventor： Ching Yin Derek Pang ,  Kyrah Felder ,  Akshay Gadde ,  Paul Wilkins ,  Cheng Chen ,  Yao-Chung Lin

    IPC: H04L29/06 ,  H04N21/25 ,  G06N20/00

    Abstract: Methods and systems for encoder parameter setting optimization. A media item to be provided to one or more users of a platform is identified. The media item is associated with a media class. An indication of the identified media item is provided as input to a first machine learning model. The first machine learning model is trained to predict, for a given media item, a set of encoder parameter settings that satisfy a performance criterion in view of a respective media class associated with the given media item. One or more outputs of the first machine learning model are obtained. The one or more obtained outputs include encoder data identifying one or more sets of encoder parameter settings and, for each of the sets of encoder parameter settings, an indication of a level of confidence that a respective set of encoder parameter settings satisfies the performance criterion in view of the media class associated with the identified media item. The identified media item is encoded using the respective set of encoding parameter settings associated with the level of confidence that satisfies a confidence criterion.

    ADAPTIVE GOP STRUCTURE USING TEMPORAL DEPENDENCIES LIKELIHOOD
    4.
    发明申请
    ADAPTIVE GOP STRUCTURE USING TEMPORAL DEPENDENCIES LIKELIHOOD 有权

    公开(公告)号：US20220191480A1

    公开(公告)日：2022-06-16

    申请号：US17121349

    申请日：2020-12-14

    Applicant: GOOGLE LLC

    Inventor： Ching Yin Derek Pang ,  Yeping Su ,  Yao-Chung Lin

    IPC: H04N19/114 ,  H04N19/105 ,  H04N19/159 ,  H04N19/177 ,  H04N19/176

    Abstract: A first aspect is a method for coding a group of pictures (GOP) that includes frames of a video. The method includes encoding, at least some of the frames of the GOP, using a first encoding pass to obtain encoding statistics; obtaining, using the encoding statistics, respective temporal dependency likelihoods (TDLs) for the at least some of the frames of the GOP, where the respective TDLs indicate contributions that the at least some of the frames make in reducing prediction errors of the GOP; obtaining a reference frame based on the respective TDLs; and using the reference frame in encoding at least some of the frames of the GOP in a second encoding pass.

    VIDEO CONTENT ANALYSIS AND/OR PROCESSING USING ENCODING LOGS
    5.
    发明申请
    VIDEO CONTENT ANALYSIS AND/OR PROCESSING USING ENCODING LOGS 审中-公开

    公开(公告)号：US20180084254A1

    公开(公告)日：2018-03-22

    申请号：US15784516

    申请日：2017-10-16

    Applicant: GOOGLE LLC

    Inventor： Yao-Chung Lin ,  Sam John ,  Thierry Foucu ,  Sasi Inguva

    IPC: H04N19/134 ,  H04N19/142

    CPC classification number: H04N19/134 ,  H04N19/00472 ,  H04N19/00587 ,  H04N19/00921 ,  H04N19/142 ,  H04N19/40 ,  H04N19/87

    Abstract: Systems and methods for processing a video sequence are disclosed. In accordance with some implementations, The method includes determining a first set of shot-change locations associated with a cut transition in a video sequence based on variance data defined in an encoding log associated with at least one previously encoded video frame. The method further includes determining a second set of shot-change locations associated with a fading transition in the video sequence based on the variance data defined in the encoding log associated with the at least one previously encoded video frame. The method also includes processing the video sequence based on at least a portion of the first set of shot-change locations and the second set of shot-change locations.

    Methods and systems for encoder parameter setting optimization
    7.
    发明授权
    Methods and systems for encoder parameter setting optimization 有权

    公开(公告)号：US11870833B2

    公开(公告)日：2024-01-09

    申请号：US17462591

    申请日：2021-08-31

    Applicant: Google LLC

    Inventor： Ching Yin Derek Pang ,  Kyrah Felder ,  Akshay Gadde ,  Paul Wilkins ,  Cheng Chen ,  Yao-Chung Lin

    IPC: H04L65/70 ,  G06N20/00 ,  H04L65/61 ,  H04L65/80 ,  H04N21/25

    CPC classification number: H04L65/70 ,  G06N20/00 ,  H04L65/61 ,  H04L65/80 ,  H04N21/251

    Abstract: Methods and systems for encoder parameter setting optimization. A media item to be provided to one or more users of a platform is identified. The media item is associated with a media class. An indication of the identified media item is provided as input to a first machine learning model. The first machine learning model is trained to predict, for a given media item, a set of encoder parameter settings that satisfy a performance criterion in view of a respective media class associated with the given media item. One or more outputs of the first machine learning model are obtained. The one or more obtained outputs include encoder data identifying one or more sets of encoder parameter settings and, for each of the sets of encoder parameter settings, an indication of a level of confidence that a respective set of encoder parameter settings satisfies the performance criterion in view of the media class associated with the identified media item. The identified media item is encoded using the respective set of encoding parameter settings associated with the level of confidence that satisfies a confidence criterion.

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