Abstract: Disclosed is video encoding/decoding method and apparatus using a correlation of YCbCr. According to an aspect of the present disclosure, the video decoding method for predictively decoding a target block includes, receiving a bitstream and generating a residual block for a chroma block, generating reconstructed information in a luma block corresponding to the chroma block and reconstructed neighboring information about the luma block, generating reconstructed neighboring information about the chroma block, determining a scaling value and an offset value based on the reconstructed neighboring information about the chroma block and the reconstructed neighboring information about the luma block, generating a prediction block for the chroma block by applying the determined scaling value and offset value to the reconstructed information in the luma block, and generating a reconstructed block for the chroma block based on the residual block for the chroma block and the prediction block for the chroma block.

Abstract: Disclosed is a method for deriving a bidirectional prediction weight index of a constructed candidate included in an affine merge candidate list. The method comprises: determining whether a plurality of target control points are available from among control points set for a current block; if the target control points are available, then checking prediction directions and reference pictures of the target control points; and if the prediction directions of the target control points are all bidirectional and the reference pictures of the target control points are the same, then deriving the bidirectional prediction weight index of the constructed candidate from among bidirectional prediction weight index candidates of the target control points.

Abstract: Disclosed is a method for deriving a bidirectional prediction weight index of a constructed candidate included in an affine merge candidate list. The method comprises: determining whether a plurality of target control points are available from among control points set for a current block; if the target control points are available, then checking prediction directions and reference pictures of the target control points; and if the prediction directions of the target control points are all bidirectional and the reference pictures of the target control points are the same, then deriving the bidirectional prediction weight index of the constructed candidate from among bidirectional prediction weight index candidates of the target control points.

Abstract: Disclosed is a method for deriving a bidirectional prediction weight index of a constructed candidate included in an affine merge candidate list. The method comprises: determining whether a plurality of target control points are available from among control points set for a current block; if the target control points are available, then checking prediction directions and reference pictures of the target control points; and if the prediction directions of the target control points are all bidirectional and the reference pictures of the target control points are the same, then deriving the bidirectional prediction weight index of the constructed candidate from among bidirectional prediction weight index candidates of the target control points.

Abstract: Disclosed is a method for deriving a bidirectional prediction weight index of a constructed candidate included in an affine merge candidate list. The method comprises: determining whether a plurality of target control points are available from among control points set for a current block; if the target control points are available, then checking prediction directions and reference pictures of the target control points; and if the prediction directions of the target control points are all bidirectional and the reference pictures of the target control points are the same, then deriving the bidirectional prediction weight index of the constructed candidate from among bidirectional prediction weight index candidates of the target control points.

Abstract: A video decoding apparatus and a method for adaptively setting a resolution are disclosed. According to one embodiment of the present invention, a method for adaptively setting a resolution on a per-picture basis comprises the steps of: decoding maximum resolution information from a bitstream; decoding, from the bitstream, resolution information about a current picture; and setting the resolution of the current picture on the basis of the maximum resolution information or the resolution information, wherein the resolution information has a size less than or equal to that of the maximum resolution information.

Abstract: The present disclosure relates to video encoding or decoding and, more specifically, to an apparatus and a method for applying an artificial neural network (ANN) to video encoding or decoding. The apparatus and the method of the present disclosure are characterized by applying a CNN-based filter to a first picture and at least one of a quantization parameter map and a block partition map to output a second picture.

Abstract: The present disclosure relates to video encoding or decoding and, more specifically, to an apparatus and a method for applying an artificial neural network (ANN) to video encoding or decoding. The apparatus and the method of the present disclosure are characterized by applying a CNN-based filter to a first picture and at least one of a quantization parameter map and a block partition map to output a second picture.

Abstract: The present disclosure relates to video encoding or decoding and, more specifically, to an apparatus and a method for applying an artificial neural network (ANN) to video encoding or decoding. The apparatus and the method of the present disclosure are characterized by applying a CNN-based filter to a first picture and at least one of a quantization parameter map and a block partition map to output a second picture.

Abstract: The present disclosure relates to video encoding or decoding and, more specifically, to an apparatus and a method for applying an artificial neural network (ANN) to video encoding or decoding. The apparatus and the method of the present disclosure are characterized by applying a CNN-based filter to a first picture and at least one of a quantization parameter map and a block partition map to output a second picture.

Abstract: A semiconductor device may include a plurality of transfer circuits configured to transfer a program pulse to at least one of a plurality of word lines based on a transfer control signal, a decoder configured to provide the program pulse to at least one of the plurality of transfer circuits based on a row address, and a control circuit configured to adjust a voltage level of the transfer control signal based on a program/erase count.

Abstract: Disclosed herein is a method for decoding a video including determining a coding unit to be decoded by block partitioning, decoding prediction syntaxes for the coding unit, the prediction syntaxes including a skip flag indicating whether the coding unit is encoded in a skip mode, after the decoding of the prediction syntaxes, decoding transform syntaxes including a transformation/quantization skip flag and a coding unit cbf, wherein the transformation/quantization skip flag indicates whether inverse transformation, inverse quantization, and at least part of in-loop filterings are skipped, and the coding unit cbf indicates whether all coefficients in a luma block and two chroma blocks constituting the coding unit are zero, and reconstructing the coding unit based on the prediction syntaxes and the transform syntaxes.

Abstract: A video decoding method for predicting a picture, which is split into equal-sized coding tree blocks, in units of blocks, the method includes: reconstructing a block vector for a current coding block in a current coding tree block to be decoded, by decoding block vector information from a bitstream, wherein the current coding block is one of blocks split from the current coding tree block in a tree structure; and setting, as a prediction block of the current coding block, a reference block indicated by the block vector in the picture in which the current coding block is located.

Abstract: A video decoding method for predicting a picture, which is split into equal-sized coding tree blocks, in units of blocks, the method includes: reconstructing a block vector for a current coding block in a current coding tree block to be decoded, by decoding block vector information from a bitstream, wherein the current coding block is one of blocks split from the current coding tree block in a tree structure; and setting, as a prediction block of the current coding block, a reference block indicated by the block vector in the picture in which the current coding block is located.

Abstract: A video decoding method for predicting a picture, which is split into equal-sized coding tree blocks, in units of blocks, the method includes: reconstructing a block vector for a current coding block in a current coding tree block to be decoded, by decoding block vector information from a bitstream, wherein the current coding block is one of blocks split from the current coding tree block in a tree structure; and setting, as a prediction block of the current coding block, a reference block indicated by the block vector in the picture in which the current coding block is located.

Abstract: A video decoding method for predicting a picture, which is split into equal-sized coding tree blocks, in units of blocks, the method includes: reconstructing a block vector for a current coding block in a current coding tree block to be decoded, by decoding block vector information from a bitstream, wherein the current coding block is one of blocks split from the current coding tree block in a tree structure; and setting, as a prediction block of the current coding block, a reference block indicated by the block vector in the picture in which the current coding block is located.

Abstract: Disclosed herein is a method for adaptive bidirectional optical flow estimation for inter prediction compensation during video encoding. The method aims to reduce complexity and/or cost of bidirectional optical flow (BIO) at a pixel level or a subblock level.

Abstract: Disclosed is a method for deriving a bidirectional prediction weight index of a constructed candidate included in an affine merge candidate list. The method comprises: determining whether a plurality of target control points are available from among control points set for a current block; if the target control points are available, then checking prediction directions and reference pictures of the target control points; and if the prediction directions of the target control points are all bidirectional and the reference pictures of the target control points are the same, then deriving the bidirectional prediction weight index of the constructed candidate from among bidirectional prediction weight index candidates of the target control points.

Abstract: Disclosed herein is a method for adaptive bidirectional optical flow estimation for inter prediction compensation during video encoding. The method aims to reduce complexity and/or cost of bidirectional optical flow (BIO) at a pixel level or a subblock level.

Abstract: Disclosed is a method and apparatus for encoding/decoding a video. According to an embodiment, provided is a method of setting a level for each of one or more regions, including decoding a definition syntax element related to level definition and a designation syntax element related to target designation from a bitstream; defining one or more levels based on the definition syntax element; and setting a target level designated by the designation syntax element among the defined levels for a target region designated by the designation syntax element.