DEBLOCKING FILTERING
    11.
    发明公开

    公开(公告)号:US20240155121A1

    公开(公告)日:2024-05-09

    申请号:US18406816

    申请日:2024-01-08

    Applicant: Google LLC

    CPC classification number: H04N19/117 H04N19/176 H04N19/186 H04N19/46

    Abstract: A bitstream that stores encoded image data is described. In addition to the compressed data for color planes of the image, signals identifying respective deblocking filters is identified for the different color planes of the image. The deblocking filters may include those having different lengths for a luma plane as compared to one or more chroma planes of the image. One or more of the color planes, such as the luma plane, may have different filters for filtering reconstructed pixels vertically as compared to filtering the reconstructed pixels horizontally.

    Deblocking filtering
    12.
    发明授权

    公开(公告)号:US11870983B2

    公开(公告)日:2024-01-09

    申请号:US16995078

    申请日:2020-08-17

    Applicant: Google LLC

    CPC classification number: H04N19/117 H04N19/176 H04N19/186 H04N19/46

    Abstract: Techniques for encoding and decoding image data are described. An image is reconstructed and deblocked. A respective deblocking filter is identified for different color planes of the image. The deblocking filters may include those having different lengths for a luma plane as compared to one or more chroma planes of the image. One or more of the color planes, such as the luma plane, may have different filters for filtering reconstructed pixels vertically as compared to filtering the reconstructed pixels horizontally.

    METHODS AND SYSTEMS FOR ENCODER PARAMETER SETTING OPTIMIZATION

    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

    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.

    Deblocking Filtering
    14.
    发明申请

    公开(公告)号:US20200382776A1

    公开(公告)日:2020-12-03

    申请号:US16995078

    申请日:2020-08-17

    Applicant: Google LLC

    Abstract: Techniques for encoding and decoding image data are described. An image is reconstructed and deblocked. A respective deblocking filter is identified for different color planes of the image. The deblocking filters may include those having different lengths for a luma plane as compared to one or more chroma planes of the image. One or more of the color planes, such as the luma plane, may have different filters for filtering reconstructed pixels vertically as compared to filtering the reconstructed pixels horizontally.

Patent Agency Ranking