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: An aerosol generating device includes a housing, a cartridge insertable into the housing and configured to store at least one liquid, an actuator provided on one side of the cartridge in the housing and configured to push the liquid out of the cartridge, and an article insertion portion provided on the other side of the cartridge and configured such that the aerosol generating article is insertable thereinto.

Abstract: Disclosed are a method of encoding a division block in video encoding and a method of decoding a division block in video decoding. An input picture is divided into encoding unit blocks. The encoding unit blocks are divided into sub-blocks. The sub-blocks are encoded by selectively using at least one of intra prediction encoding and inter prediction encoding. A decoding process is performed through a reverse process of the encoding method. When pixel values of an encoding unit block are encoded in video encoding, the flexibility in selecting an encoding mode is increased and the efficiency of encoding is increased.

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: In a system for setting current capacity of a charging cable for supply of battery power from one electric vehicle to another electric vehicle, a discharge controller is provided in a supply vehicle to discharge a battery of the supply vehicle to supply battery power to a target vehicle. A charge controller is provided in the target vehicle to charge a battery of the target vehicle with battery power supplied from the supply vehicle. A charging cable part electrically connects the supply vehicle and the target vehicle. The discharge controller is configured to perform control so that a discharging current of the charging cable part is set by detecting an allowable charging current of the charging cable part connected to the supply vehicle and comparing the allowable charging current with a predetermined maximum current outputtable from the supply vehicle.

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: 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: Disclosed are a method of encoding a division block in video encoding and a method of decoding a division block in video decoding. An input picture is divided into encoding unit blocks. The encoding unit blocks are divided into sub-blocks. The sub-blocks are encoded by selectively using at least one of intra prediction encoding and inter prediction encoding. A decoding process is performed through a reverse process of the encoding method. When pixel values of an encoding unit block are encoded in video encoding, the flexibility in selecting an encoding mode is increased and the efficiency of encoding is increased.

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: An aerosol generating device includes a housing comprising an article insertion portion for receiving an aerosol generating article, a cartridge insertable into the housing and comprising a flexible portion, and an actuator provided in the housing and configured to change a volume of the cartridge by deformation of the flexible portion.