Abstract: The disclosure relates to a method comprising quantizing parameters of an input tensor, said quantizing using a codebook whose size is obtained according to a distortion value determined between the at least one tensor and a quantized version of said at least one tensor. The disclosure also relates to a method for quantizing parameters of the input tensor using a pdf-based initialization bounded according to at least one first pdf factor, said first pdf factor being selected among several candidate bounding pdf factors according to resulting entropy. The disclosure also relates to corresponding signal; bitstream, storage media and encoder and/or decoder devices.

Abstract: The disclosure relates to a method comprising, responsive to a determination that at least one first tensor of at least one layer of at least one Deep Neural Network is decomposed into a second tensor and a third tensor whose parameters are encoded in a bitstream, decoding from the bitstream a size of at least one of the second tensor and the third tensor, and decoding the at least one of the second tensor and the third tensor from the bitstream based on the decoded size. Corresponding apparatus, encoding method, signal; bitstream, storage media and encoder and/or decoder devices are also provided.

Abstract: An apparatus for processing a video may receive a quantization parameter (QP) adjustment value associated with a syntax level at the syntax level. In examples, the apparatus may obtain the QP adjustment value associated with the syntax level, for example, via signalling at the syntax level. The apparatus may apply the QP adjustment value to a QP associated with the syntax level to obtain an adjusted QP associated with the syntax level. The syntax level may include a coding block level or a transform unit (TU) level. In examples, if the syntax level is a TU level, the decoder may receive the QP adjustment value for a first CU (for example, a current TU) and obtain a QP for the second TU that precedes the first CU in a coding order based on a QP predictor, for example, instead of the QP adjustment value for the first TU.

Abstract: A method, apparatus or system for processing video information can involve determining at least one Rice parameter associated with a transform residual coding process applied during encoding of a block of picture information, wherein the Rice parameter is a fixed value, or is determined based on, for example, a frequency region or a coefficient scanning position for the transform residual coding, or a number of neighbors of the block of picture information, and encoding or decoding the block of picture information based on the at least one Rice parameter.

Abstract: Quantization matrix can be used to adjust quantization of transform coefficients at different frequencies. In one embodiment, a single fixed parametric model, such as a polynomial is used to represent a quantization matrix. Modulation of bit cost and complexity is achieved by specifying only the n first polynomial coefficients, the remaining ones being implicitly set to zero or other default values. One form of the single fixed polynomial is a fully developed polynomial in (x, y), where x, y indicate the coordinates of a given coefficient in a quantization matrix, with terms ordered by increasing exponent. Since higher exponents are the last ones, reducing the number of polynomial coefficients reduces the degree of the polynomial, hence its complexity. The polynomial coefficients can be symmetrical in x and y, and thus reducing the number of polynomial coefficients that need to be signaled in the bitstream.