Abstract:
The present invention provides a method for encoding a video signal comprising the steps of: performing block division with respect to a target unit of the video signal, wherein the block division is performed on the basis of square division and/or non-square division; determining the optimal block partition on the basis of a rate distortion cost, when the target unit is divided into a plurality of non-square blocks; and performing CNT prediction coding on the non-square blocks resulting from the optimal block partition, wherein the CNT prediction coding involves performing prediction using all previously decoded pixel values.
Abstract:
A method for performing a transform by using Layered Givens Transform may include: deriving at least one rotation layer, a first permutation layer and a second permutation layer based on a given transform matrix H and an error parameter; obtaining a Layered Givens Transform (LGT) coefficient based on the rotation layer, the first permutation layer and the second permutation layer; and performing quantization and entropy encoding with respect to the LGT coefficient, the first permutation layer and the second permutation layer may include a permutation matrix obtained by permuting a row of an identity matrix, and the LGT coefficient may be obtained by sequentially applying the first permutation layer, the rotation layer and the second permutation layer respectively.
Abstract:
An intra prediction method performed by a decoding device, according to the present invention, comprises the steps of: deriving an intra prediction mode for a current block; deriving neighboring samples of the current block; and generating a prediction sample for the current block by using at least one of the neighboring samples according to the intra prediction mode, wherein the derived neighboring samples include left neighboring samples, upper left neighboring samples, upper neighboring samples, right neighboring samples, lower right neighboring samples, and lower neighboring samples of the current block. According to the present invention, intra prediction performance can be improved by using expanded neighboring reference samples, and coding efficiency for CUs can be improved.
Abstract:
A polygon unit-based image processing method, and a device for the same are disclosed. Specifically, a method for decoding an image on the basis of a polygon unit can comprise the steps of: deriving a motion vector predictor for a polygon apex forming the polygon unit; deriving a motion vector for the polygon apex on the basis of a motion vector difference for the polygon apex and the motion vector predictor; and deriving a prediction sample for the polygon unit from a division unit, which is specified by the motion vector, in a reference picture.
Abstract:
The present invention relates to a video decoding apparatus and method for decoding a multi-view video, and the method for decoding a video, according to the present invention, is the video decoding method for decoding a multi-view video, comprising the steps of: inducing video information required for decoding a current block by entropy-decoding a bitstream; inducing a first disparity vector based on a neighboring block of the current block in the same view by using the video information, inducing a second disparity vector by using the first disparity vector and a reference view depth, and inducing a third disparity vector using the difference between the first disparity vector and the second disparity vector; inducing a prediction sample of the current block by using one of the first disparity vector, the second disparity vector, or the third disparity vector; and applying filtering to a current picture which has been restored using the prediction sample.
Abstract:
The method for processing a multiview video signal according to the present invention acquires motion information generated by predictively coding a picture of a reference point, acquires motion information on a part of a block of the picture from among the motion information generated by predictively coding the picture of a non-reference point, and compresses the motion information acquired for every picture of the reference point and non-reference point and stores the compressed motion information.
Abstract:
An image decoding method performed by means of a decoding device according to the present disclosure comprises the steps of: deriving transform coefficients of a target block from a bitstream; deriving a non-separable secondary transform (NSST) index with respect to the target block; performing inverse transform with respect to the transform coefficients of the target block on the basis of the NSST index and thus deriving residual samples of the target block; and generating a reconstructed picture on the basis of the residual samples.
Abstract:
Embodiments in the present specification provide a method and device for processing video signal including steps of: obtaining a sub-block transform (SBT) flag indicating whether a SBT is applied, wherein the SBT represents a transform applied to a transform unit corresponding to one of subblocks split from a coding unit; determining a variable value related to a transform target region based on the SBT flag and a size value of the transform unit, wherein if the SBT flag equals to 1 and the size value is greater than a threshold value, the variable value is determined as the threshold value; obtaining position information of a last significant coefficient according to a scan order within the transform unit, wherein the position information of the last significant coefficient is coded based on the variable value; and performing an inverse-transform based on the position information of the last significant coefficient.
Abstract:
A video decoding method according to the present document comprises a step of deriving a modified transform coefficient, and the step of deriving the transform coefficient may comprise the steps of: determining whether an LFNST can be applied to the height and width of a current block on the basis of the tree type and color format of the current block; parsing an LFNST index if the LFNST can be applied; and deriving the modified transform coefficient on the basis of the LFNST index and an LFNST matrix.
Abstract:
The present disclosure provides a method of reconstructing a video signal based on a reduced secondary transform, which includes: obtaining a secondary transform index from the video signal; deriving a secondary transform corresponding to the secondary transform index, wherein the secondary transform represents a reduced secondary transform, and the reduced secondary transform represents a transform outputting L (L