LAYERED ENCODING AND DECODING METHODS AND APPARATUSES

    公开(公告)号:EP4277274A1

    公开(公告)日:2023-11-15

    申请号:EP22742167.4

    申请日:2022-01-19

    IPC分类号: H04N19/30

    摘要: This application relates to the field of artificial intelligence (Al)-based video or picture compression technologies, and 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. This application can adapt to picture content having different color characteristics.

    IMAGE PROCESSING METHOD AND RELATED DEVICE
    3.
    发明公开

    公开(公告)号:EP4090022A1

    公开(公告)日:2022-11-16

    申请号:EP21751079.1

    申请日:2021-02-05

    IPC分类号: H04N19/146 G06N3/08

    摘要: This application relates to the field of artificial intelligence, and discloses an image processing method, including: obtaining a first image; performing feature extraction on the first 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. In this application, compression bit rate control can be implemented in a same compression model.