FEATURE ENCODING/DECODING METHOD AND DEVICE, RECORDING MEDIUM ON WHICH BITSTREAM IS STORED, AND METHOD FOR TRANSMITTING BITSTREAM

    公开(公告)号:US20250080717A1

    公开(公告)日:2025-03-06

    申请号:US18726387

    申请日:2023-03-06

    Abstract: Provided are a feature encoding/decoding method and device, a recording medium on which a bitstream generated by the feature encoding method is stored, and a method for transmitting the bitstream. The feature decoding method according to the present disclosure comprises the steps of obtaining vertical channel information related to vertical-direction channels and horizontal channel information related to horizontal-direction channels in a feature map; identifying channel boundaries in the feature map on the basis of the vertical channel information and the horizontal channel information; and decoding the feature map on the basis of the channel boundaries, wherein the vertical channel information includes either first information related to the boundaries of the vertical-direction channels or second information related to the number of vertical-direction channels, and the horizontal channel information can include either third information related to the boundaries of the horizontal-direction channels or fourth information related to the number of horizontal-direction channels.

    Image encoding/decoding method and device for performing feature quantization/ de-quantization, and recording medium for storing bitstream

    公开(公告)号:US12231637B2

    公开(公告)日:2025-02-18

    申请号:US17801159

    申请日:2021-02-25

    Abstract: An image encoding/decoding method and apparatus are provided. An image decoding method may comprise obtaining, from a bitstream, a feature set extracted from an input image using an artificial neural network-based feature extraction method, first information on importance of each of a plurality of channels included in the feature set and second information on a quantization method of the feature set, decoding the feature set, the first information and the second information, and dequantizing the decoded feature set based on the decoded first information and the decoded second information. The second information may comprise the number of quantization bits of each of the plurality of channels, and the number of quantization bits may be determined based on the importance of each of the plurality of channels.

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