Abstract:
A method for performing parallel coding with ordered entropy slices includes: providing a plurality of entropy slices to a plurality of processing elements, wherein each entropy slice includes a plurality of blocks; initializing CABAC states of a current entropy slice as the CABAC states of a previous entropy slice after processing DB blocks of the previous entropy slice. DB is a positive integer.
Abstract:
A method and apparatus of prediction for video coding are disclosed. According to one method, a luma Intra prediction mode is determined for a corresponding luma block collocated with the current chroma block, where a predefined mode is assigned to the luma Intra prediction mode when the corresponding luma block collocated with the current chroma block satisfies one or more conditions. A chroma Intra prediction mode is determined for the current chroma block according to the luma Intra prediction mode. The current chroma block is then encoded or decoded according to the chroma Intra prediction mode. According to another method, a predefined mode is assigned to Intra prediction mode for the current block when the current block satisfies one or more conditions. The current block is then encoded or decoded according to the Intra prediction mode.
Abstract:
A method and apparatus for video coding using a coding mode belonging to a mode group comprising an Intra Block Copy (IBC) mode and an Intra mode are disclosed. According to the present invention, for both IBC and Intra mode, a same default scaling matrix is used to derive the scaling matrix for a current block. In another embodiment, for the current block with block size of M×N or N×M, and M greater than N, a target scaling matrix is derived from an M×M scaling matrix by down-sampling the M×M scaling matrix to an M×N or N×M scaling matrix.
Abstract:
Video processing methods and apparatuses in a video encoding or decoding system for processing out-of-bounds nodes in a current picture. An out-of-bounds node is a coding tree node with a block region across a current picture boundary. The video processing method or apparatus determines an inferred splitting type, applies the inferred splitting type to split the out-of-bounds node into child blocks, adaptively splits each child block into one or multiple leaf blocks, and encodes or decodes the leaf blocks in the out-of-bounds node inside the current picture. The inferred splitting type for partitioning out-of-bounds nodes in an inter slice, picture, or tile is the same as the inferred splitting type for partitioning out-of-bounds nodes in an intra slice, picture, or tile.
Abstract:
Method and apparatus for affine CPMV or ALF refinement are mentioned. According to this method, statistical data associated with the affine CPMV or ALF refinement are collected over a picture area. Updated parameters for the affine CPMV refinement or the ALF refinement are then derived based on the statistical data, where a process to derive the updated parameters includes performing multiplication using a reduced-precision multiplier for the statistical data. The reduced-precision multiplier truncates at least one bit of the mantissa part. In another embodiment, the process to derive the updated parameters includes performing reciprocal for the statistical data using a lookup table with (m−k)-bit input by truncating k bits from the m-bit mantissa part, and contents of the lookup table includes m-bit outputs. m and k are positive integers.
Abstract:
Low-latency video coding methods and apparatuses include receiving input data associated with a current Intra slice composed of Coding Tree Units (CTU), where each CTU includes luma and chroma Coding Tree Blocks (CTBs), partitioning each CTB into non-overlapping pipeline units, and encoding or decoding the CTUs in the current Intra slices by performing processing of chroma pipeline units after beginning processing of luma pipeline units in at least one pipeline stage. Each of the pipeline units is processed by one pipeline stage after another pipeline stage, and different pipeline stages process different pipeline units simultaneously. The pipeline stage in the low-latency video coding methods and apparatuses simultaneously processes one luma pipeline unit and at least one previous chroma pipeline unit within one pipeline unit time interval.
Abstract:
Various schemes for realizing JCCR mode decision in frequency domain are described. An apparatus receives first and second pixel data of a current block of a picture and transform the pixel data into first and second transformed data in frequency domain. The apparatus generates joint pixel data comprising a pixelwise linear combination of the first and second transformed data. The apparatus generates reconstructed joint pixel data based on the joint pixel data by quantization and inverse quantization operations. The apparatus derives first and second reconstructed pixel data based on the reconstructed joint pixel data. The apparatus accordingly calculates first and second distortion values in frequency domain, based on which a preferred mode may be determined to code the current block.
Abstract:
Video encoding methods and apparatuses for Sum of Absolute Transformed Difference (SATD) computation by folded Hadamard transform circuits include splitting a current block into SATD blocks, receiving input data associated with a first block of a first SATD block in a first cycle and receiving input data associated with a second block of the first SATD block in a second cycle, and performing calculations for the first block by shared Hadamard transform circuits in the first cycle and performing calculations for the second block by the shared Hadamard transform circuits in the second cycle. Each shared Hadamard transform circuit is a first part of each folded Hadamard transform circuit. The video encoding methods and apparatuses further perform calculations for the entire SATD block by a final part of each folded Hadamard transform circuit to generate a final SATD result of the first SATD block for encoding.
Abstract:
For each prediction candidate of a set of one or more prediction candidates of the current block, a video coder computes a matching cost between a set of reference pixels of the prediction candidate in a reference picture and a set of neighboring pixels of a current block in a current picture. The video coder identifies a subset of the reference pictures as major reference pictures based on a distribution of the prediction candidates among the reference pictures of the current picture. A bounding block is defined for each major reference picture, the bounding block encompassing at least portions of multiple sets of reference pixels for multiple prediction candidates. The video coder assigns an index to each prediction candidate based on the computed matching cost of the set of prediction candidates. A selection of a prediction candidate is signaled by using the assigned index of the selected prediction candidate.
Abstract:
Methods and apparatus for Adaptive Loop Filter (ALF) processing of reconstructed video are disclosed. According to one method, clipping values for the ALF processing are determined depending on a bit depth of a center reconstructed pixel. A current ALF output for the current block is derived, where the current ALF output comprises a weighted sum of clipped differences of original differences and each of the original differences is calculated between a first reconstructed pixel at a non-center filter location and the center reconstructed pixel, and each of the original differences is clipped according to a corresponding clipping value to form one clipped difference. In another method, a target clipping value is always signaled at an encoder side or parsed at a decoder side even if the target clipping value is zero. In another method, the clipping values are encoded or decoded using a fixed-length code.