Abstract: A stainless steel with high strength and high toughness and processing method thereof are disclosed in the present invention. The stainless steel comprising: C of 0.01%˜0.1% weight percentage, N of 0.05%˜0.2%, P of no higher than 0.03%, S of no higher than 0.003%, Si of 0.5%˜1%, Mn of 1.0%˜2.0%, Cr of 15%˜17%, Ni of 5% to 7%, and Fe. The stainless steel contains austenite and strain-induced martensite structure, wherein the martensite is of irregular approximately spindle body shape, and the average size of its long axis ranges from 50 to 1000 nm and that of its short axis ranges from 20 to 500 nm, the volume percent of martensite in the stainless steel is 0.1% to 20%.

Abstract: An example device for filtering decoded video data includes one or more processors configured to execute a neural network filtering unit to: receive data from one or more other units of the device, the data from the one or more other units of the device being different than data for a decoded picture of video data, and wherein to receive the data from the one or more other units of the device, the one or more processors are configured to execute the neural network filtering unit to receive boundary strength data from a deblocking unit of the device; determine one or more neural network models to be used to filter a portion of the decoded picture; and filter the portion of the decoded picture using the one or more neural network models and the data from the one or more other units of the device, including the boundary strength data.

Abstract: Techniques for coding coefficients in a residual block are described. A video coder (e.g., video encoder or video decoder) may code (e.g., encode or decode), in an interleaving manner, coefficient information on a coefficient-by-coefficient basis for coefficients in a residual block of a current block of the video data in a first pass, wherein the coefficient information for a coefficient includes one or more of a significance flag indicating whether a value of the coefficient is not zero, a parity flag indicating whether the value of the coefficient is odd or even, a sign flag indicating whether the value of the coefficient is positive or negative, and one or more greater than flags indicating whether an absolute value of the coefficient is greater than respective threshold values, and after the first pass, code remainder information for coefficients in the residual block of the current block in a second pass.

Abstract: An example method includes predicting, based on a plurality of color components of a block of video data coded using joint coding of chroma residuals (JCCR), a sign of a coefficient of a plurality of coefficients of a joint residual block of the block of video data; generating, for each respective color component of the plurality of color components and based on the plurality of coefficients of the joint residual block, coefficients of a respective residual block of a plurality of residual blocks; and reconstructing, based on the plurality of residual blocks, the block of video data.

Abstract: The present disclosure discloses an interlocking protection device for turnout switching. The interlocking protection device for turnout switching comprises a receiving module, a confirmation module, a processing module, and a centralized control interlocking module, wherein the receiving module is configured to receive a turnout switching instruction; the confirmation module is configured to receive a confirmation instruction; the processing module is configured to determine a target turnout position according to the turnout switching instruction and output a driving confirmation signal according to the confirmation instruction; and the centralized control interlocking module comprises a confirmation unit and a position switch unit. Under a centralized control mode, the confirmation unit carries out separate turnout locking according to the target turnout position and carries out locking confirmation according to the driving confirmation signal.

Abstract: An example device for decoding video data includes a memory configured to store video data; and one or more processors implemented in circuitry and configured to: apply a downsampling convolutional neural network layer to a first color component of a block of video data, the first color component of the block having a first size, wherein applying the downsampling convolutional neural network layer to the first color component generates a downsampled first color component having a second size smaller than the first size; filter a second color component having the second size to form a filtered second color component; concatenate the downsampled first color component with the filtered second color component to form concatenated color components; and filter the concatenated color components to form a filtered concatenated component including a filtered downsampled first color component.

Abstract: An example device for filtering decoded video data includes a memory configured to store video data; and one or more processors implemented in circuitry and configured to: decode a block of video data to form a decoded block; apply a filter to the decoded block to form a filtered block; multiply samples of the filtered block by a scaling factor to form a refined filtered block; and combine samples of the refined filtered block with corresponding samples of the decoded block. The one or more processors may further encode the block prior to decoding the block. The one or more processors may encode or decode a value of a syntax element representing the scaling factor, e.g., in a picture header of a picture including the block.

Abstract: An example device for filtering decoded video data includes a memory configured to store video data; and one or more processors implemented in circuitry and configured to: decode a picture of video data; code a value for a syntax element representing a neural network model to be used to filter a portion of the decoded picture, the value representing an index into a set of pre-defined neural network models, the index corresponding to the neural network model in the set of pre-defined neural network models; and filter the portion of the decoded picture using the neural network model corresponding to the index.

Abstract: A method of coding video data, the method comprising: reconstructing a block of the video data; and applying a Convolutional Neural Network (CNN)-based filter to the reconstructed block, wherein the CNN-based filter uses a LeakyReLU activation function.

Abstract: Provided are a method and a system for presenting a trajectory of a robot and an environmental map, where environmental map data and data of trajectory of movement of the robot which are created by the robot are acquired by a user terminal, and further the environmental map is displayed as a background and the trajectory is displayed as a foreground on the user terminal, and the trajectory is refreshed at a frequency greater than that of the environment map, thereby solving the problem that the trajectory is updated slowly and cannot be displayed in real time with a lag, thereby improving the user experience.

Abstract: A device for coding video data is configured to code a motion vector difference (MVD) value using a codeword prefix and a codeword suffix. Based on an absolute value, minus 2, of the MVD value being 131070 or greater, the codeword prefix of the MVD value is equal to 1111 1111 1111 1111 and the codeword suffix is coded using the fixed length code.

Abstract: A method of decoding video data includes receiving a value indicating that a lossless mode is enabled for a block of the video data and, in response to determining that the value indicates that the lossless mode is enabled for the block of the video data, determining a maximum size for a lossless-coded transform block of the block of the video data is set to a maximum scanning size of the non-lossless coding block. The method further includes inverse scanning residual values for the block of the video data based on the maximum size for the lossless-coded transform block to generate a residual block for the block of the video data and reconstructing the block of the video data based on the residual block.

Abstract: An example device includes memory configured to store video data and one or more processors implemented in circuitry and coupled to the memory. The one or more processors are configured to determine whether transform skip mode is used for a current block of the video data. The one or more processors are configured to disable level mapping for residual coding based on transform skip mode being used for the current block. The one or more processors are configured to code the current block without applying level mapping.

Abstract: A video encoder derives a minimum allowed base quantization parameter for video data based on an input bitdepth of the video data, determines a base quantization parameter for a block of the video data based on the minimum allowed base quantization parameter, and quantizes the block of video data based on the base quantization parameter. In a reciprocal fashion, a video decoder derives a minimum allowed base quantization parameter for the video data based on an input bitdepth of the video data, determines a base quantization parameter for a block of the video data based on the minimum allowed base quantization parameter, and inverse quantizes the block of video data based on the base quantization parameter.

Abstract: An example method of coding video data includes selecting, by one or more processors a sub-set of a plurality of neighboring samples of a current block in a current picture, wherein the plurality of neighboring samples includes a row of samples adjacent to a top row of the current block in the current picture and a column of samples adjacent to a left column of the current block in the current picture; deriving, by the one or more processors and based on the sub-set of the plurality of neighboring samples in the current picture, local illumination compensation (LIC) parameters for the current block; and performing, by the one or more processors and based on the LIC parameters, LIC on samples of the current block to generate compensated samples of the current block.

Abstract: A device for decoding video data performs coefficient coding for a residual block of video data encoded using a transform skip mode by determining values for a first neighboring coefficient and a second neighboring coefficient and determining a context offset for the coefficient currently being decoded based on the value for the first neighboring coefficient and the value for the second neighboring coefficient. Performing coefficient coding includes, for example, performing sign coding, level mapping, and context derivation. The device performs coefficient coding to determine the residual block and adds the residual block to a predicted block to determine a reconstructed block.

Abstract: A video coder may be configured to determine to use a decoder side motion vector refinement process, including bi-lateral template matching, based on whether or not weights used for bi-predicted prediction are equal or not. In one example, decoder side motion vector refinement may be disabled when weights used for bi-predicted prediction are not equal.

Abstract: A video coder may determine a partitioning of a current picture of the video data into a plurality of partition blocks. The video coder may determine a plurality of processing areas in a unit in the current picture having sizes, where an average size of all of the plurality of processing areas in the unit is greater than or equal to a parameter N, and where determining the plurality of processing areas in the unit includes defining a processing area of the plurality of processing areas that has a size that fits two or more adjacent partition blocks of the plurality of adjacent blocks. The video coder may independently code coding units (CUs) within the processing area having the merged two or more adjacent partition blocks.

Abstract: An example video decoder is configured to decode a first value for a first syntax element of a current block of video data, the first value indicating that the current block is encoded using an intra-prediction mode; after decoding the first value, decode a second value for a second syntax element of the current block, the second value indicating that the current block is encoded using intra mapping mode. In the intra mapping mode, the video decoder is configured to generate a prediction block for the current block using the intra-prediction mode and decode a residual block. To decode the residual block, the video decoder is configured to determine predictors for quantized residual values of the residual block and map decoded mapping values to the quantized residual values using the predictors. The video decoder combines the prediction block with the residual block to decode the current block.

Abstract: A high-efficiency and short-process method for preparing a high-strength and high-conductivity copper alloy is disclosed, comprising the following steps: performing horizontal continuous casting to obtain an as-cast primary billet of copper alloy, wherein the alloying elements in the obtained as-cast primary billet being in a supersaturated solid solution state; after peeling the obtained as-cast primary billet, directly performing continuous extrusion, cold working and aging annealing treatment to obtain a copper alloy, and keeping the alloying elements of the billet in a supersaturated solid solution state during the process of continuous extrusion. The method shortens the flow, reduces energy consumption and improves the product forming rate.