METHOD, APPARATUS, AND MEDIUM FOR VISUAL DATA PROCESSING

    公开(公告)号:US20240430430A1

    公开(公告)日:2024-12-26

    申请号:US18823515

    申请日:2024-09-03

    Abstract: Embodiments of the present disclosure provide a solution for visual data processing. A method for visual data processing is proposed. The method comprises: obtaining, for a conversion between visual data and a bitstream of the visual data, statistical information associated with a first representation of the visual data, the first representation being generated based on applying a first neural network to the visual data; determining at least one sample from a second representation of the visual data based on the statistical information, a value of the at least one sample being absent from the bitstream, the second representation being obtained by quantizing the first representation; and performing the conversion based on the determining.

    METHOD, DEVICE, AND MEDIUM FOR VIDEO PROCESSING

    公开(公告)号:US20240251108A1

    公开(公告)日:2024-07-25

    申请号:US18622378

    申请日:2024-03-29

    Applicant: Bytedance Inc.

    CPC classification number: H04N19/70 H04N19/176 H04N19/1883

    Abstract: Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. The method comprises: obtaining a first granularity of selection of a machine learning model for processing a video and a second granularity of applying the machine learning model; and performing, based on the first and second granularities, a conversion between a current video block of the video and a bitstream of the video.

    METHOD, DEVICE, AND MEDIUM FOR VIDEO PROCESSING

    公开(公告)号:US20240244272A1

    公开(公告)日:2024-07-18

    申请号:US18622817

    申请日:2024-03-29

    Applicant: Bytedance Inc.

    CPC classification number: H04N19/90 H04N19/176

    Abstract: Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. The method comprises: obtaining a first machine learning (ML) model for processing a video, wherein the first ML model is trained based on one or more second ML models; and performing, according to the first ML model, a conversion between a current video block of the video and a bitstream of the video.

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