Dependent quantization
    4.
    发明授权

    公开(公告)号:US12212754B2

    公开(公告)日:2025-01-28

    申请号:US17987827

    申请日:2022-11-15

    Abstract: The coding of a media signal is rendered more efficient by describing the media signal using a sequence of samples and sequentially encoding this sequence by selecting, for a current sample, a set of quantization levels out of a plurality of quantization level sets depending on indices encoded into the data stream for previous samples of the sequence of samples, quantizing the current sample onto one level of the set of quantization levels, and encoding a quantization index to the one level for the current sample into the data stream. In other words, scalar quantization of the individual samples of the sequence of samples is used, but it is rendered dependent on quantization indices encoded into the data stream for previous samples of the sequence of samples. By this measure, it is possible to “construe” a grid of quantization points in the multi-dimensional space across which all possible settings of the sequence of samples are spread, onto which values of the samples are quantized according to the sequence of quantization indices coded into the data stream. This grid, in turn, reduces, statistically, a mean quantization error.

    Matrix based intra prediction with mode-global settings

    公开(公告)号:US12041222B2

    公开(公告)日:2024-07-16

    申请号:US17782990

    申请日:2020-12-04

    CPC classification number: H04N19/105 H04N19/132 H04N19/159 H04N19/176

    Abstract: Apparatus for decoding a predetermined block (18) of a picture using intra-prediction, configured to read, from the data stream (12), a mode index (200), the mode index pointing to one out of a list (204) of matrix-based intra-prediction modes. Additionally, the apparatus is configured to predict samples (108) of the predetermined block (18) by computing a matrix-vector product (206) between an input vector (102) derived from reference samples (17) in a neighborhood of the predetermined block (18) and a prediction matrix (19) associated with the matrix-based intra-prediction mode (k) pointed to by the mode index (200) and associating components (210) of an output vector (208) obtained by the matrix vector product (206) onto sample positions (104) of the predetermined block. For each matrix-based intra-prediction mode, all entries of the prediction matrix (19) associated with the respective matrix-based intra-prediction mode are represented by a fixed point representation of a predetermined bit-depth, the predetermined bit-depth being equal for the matrix-based intra-prediction modes. Furthermore, the apparatus is configured to, for each matrix-based infra-prediction mode, compute the matrix vector product (206) between the input vector (102) and the prediction matrix (19) associated with the respective matrix-based infra-prediction mode (k) by performing, for each component of the output vector, a right shift at a number of bits which is equal for the matrix-based intra-prediction modes.

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