SCALABLE ENCODING AND DECODING METHOD AND APPARATUS

    公开(公告)号:US20240007658A1

    公开(公告)日:2024-01-04

    申请号:US18223126

    申请日:2023-07-18

    CPC classification number: H04N19/30 H04N19/184 H04N19/13 H04N19/136 H04N19/42

    Abstract: This application provides a scalable encoding and decoding method and apparatus. The encoding method includes: applying a control signal of a first signal component of a video signal to a first feature map of the first signal component, to obtain a second feature map of the first signal component, where the control signal of the first signal component is obtained through learning; applying a control signal of a second signal component of the video signal to a first feature map of the second signal component, to obtain a second feature map of the second signal component, where the control signal of the second signal component is obtained through learning; and obtaining a bitstream of the video signal based on the second feature map of the first signal component and the second feature map of the second signal component.

    IMAGE PROCESSING METHOD AND RELATED DEVICE

    公开(公告)号:US20220375133A1

    公开(公告)日:2022-11-24

    申请号:US17881432

    申请日:2022-08-04

    Inventor: Jing WANG Ze CUI Bo BAI

    Abstract: This application discloses an image processing method, including: obtaining an image; performing feature extraction on the image to obtain at least one first feature map, where the at least one first feature map includes N first feature values, and N is a positive integer; obtaining a target compression bit rate, where the target compression bit rate corresponds to M target gain values, each target gain value corresponds to one first feature value, and M is a positive integer less than or equal to N; respectively processing corresponding first feature values based on the M target gain values to obtain M second feature values; and performing quantization and entropy encoding on at least one processed first feature map to obtain encoded data, where the at least one processed first feature map includes the M second feature values. Thus, compression bit rate control can be implemented in a same compression model.

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