Abstract: Disclosed herein are a video decoding method and apparatus and a video encoding method and apparatus. Coding decision information of a representative channel of a target block is shared as coding decision information of a target channel of the target block, and decoding of the target block is performed using the coding decision information of the target channel. Since the coding decision information of the representative channel is shared with an additional channel, repeated signaling of identical coding decision information may be prevented. By means of this prevention, the efficiency of encoding and decoding of the target block or the like may be improved.

Abstract: The present invention relates to a method for encoding and decoding an image. The method for decoding an image includes: deriving an initial motion vector from a merge candidate list of a current block; deriving a refined motion vector using the initial motion vector; and generating a prediction block of the current block using the refined motion vector.

Abstract: The present invention relates to a video encoding/decoding method and apparatus. The video decoding method according to the present invention may comprise decoding filter information on a coding unit; classifying samples in the coding unit into classes on a per block classification unit basis; and filtering the coding unit having the samples classified into the classes on a per block classification unit basis by using the filter information.

Abstract: Disclosed herein are a video decoding method and apparatus and a video encoding method and apparatus. In video encoding and decoding, multiple partition blocks are generated by splitting a target block. A prediction mode is derived for at least a part of the multiple partition blocks, among the multiple partition blocks, and prediction is performed on the multiple partition blocks based on the derived prediction mode. When prediction is performed on the partition blocks, information related to the target block may be used, and information related to an additional partition block, which is predicted prior to the partition block, may be used.

Abstract: Disclosed herein are a decoding method and apparatus and an encoding method and apparatus that perform inter-prediction using a motion vector predictor. For a candidate block in a col picture, a scaled motion vector is generated based on a motion vector of the candidate block. When the scaled motion vector indicates a target block, a motion vector predictor of the target block is generated based on the motion vector of the candidate block. The motion vector predictor is used to derive the motion vector of the target block in a specific inter-prediction mode such as a merge mode and an AMVP mode.

Abstract: The present it relates to a video encoding/decoding method and apparatus. The video decoding method according to the present invention may comprise c coding filter information on a coding unit; classifying samples in the coding unit into classes on a per block classification unit basis; and filtering the coding unit having the samples classified into the classes on a per block classification unit basis by using the filter information.

Abstract: Disclosed herein are a video decoding method and apparatus and a video encoding method and apparatus. In video encoding and decoding, multiple partition blocks are generated by splitting a target block. A prediction mode is derived for at least a part of the multiple partition blocks, among the multiple partition blocks, and prediction is performed on the multiple partition blocks based on the derived prediction mode. When prediction is performed on the partition blocks, information related to the target block may be used, and information related to an additional partition block, which is predicted prior to the partition block, may be used.

Abstract: Described herein are systems, methods, and other techniques for determining a material type while an implement of a construction machine is interacting with a ground surface. A vibration signal that is indicative of a movement of the implement is captured. One or more features are extracted from the vibration signal. The one or more features are provided to a machine-learning model to generate a model output. The material type of the ground surface is predicted based on the model output.

Abstract: Described herein are systems, methods, and other techniques for determining a period during which an implement of a construction machine is interacting with a ground surface. A vibration signal that is indicative of a movement of the implement is captured. One or more features are extracted from the vibration signal. The one or more features are provided to a machine-learning model to generate a model output. An implement-on-ground (IOG) start time and an IOG end time are predicted based on the model output, the IOG start time and the IOG end time forming the period.

Abstract: There is provided a method for producing a cathode active material for a secondary battery, the method comprising: preparing mixed solution by mixing, with balls, reactive solution containing lithium ions, transition metal ions, and poly-acid anions; forming seeds by reacting the lithium ions, the transition metal ions and the poly-acid anions with one another in the mixed solution while agitating the mixed solution; producing active material powders by spraying and drying the mixed solution having the seeds contained therein; and heat-treating the active material powders.

Abstract: A method for performing scheduling on tasks formed for communication between a plurality of nodes in a wireless network having the nodes and a coordinator for coordinating communication between the nodes. Each of the nodes calculates an affinity for at least one task in which the corresponding node participates, and transmits the calculated task affinity to the coordinator. The coordinator assigns priorities to the tasks in the order of level of the task affinities received from the nodes, and transmits the assigned priorities to the nodes.