Abstract: Embodiments of this application disclose a decoding method includes: obtaining a bitstream including picture data; parsing the bitstream to obtain node split mode information of a first-level coding tree and node split mode information of a second-level coding tree, if the split mode corresponding to the first node is no further splitting, parsing the bitstream to obtain encoding information of the first node; and decoding and reconstructing, based on the encoding information of the first node, a coding unit corresponding to the first node, to obtain a picture corresponding to the picture data.

Abstract: The invention provide a rendering method and an electronic device. The method includes: first, obtaining channel feedback information of an encoded transmission channel, where the encoded transmission channel is used to transmit an encoded bitstream corresponding to a rendered image; subsequently, determining, from a plurality of groups of preset rendering input information, rendering input information corresponding to the channel feedback information, where complexity of the plurality of groups of preset rendering input information is different; then, performing rendering based on the rendering input information corresponding to the channel feedback information, to obtain the rendered image, where content complexity of the obtained rendered image is associated with complexity of the rendering input information corresponding to the channel feedback information.

Abstract: A high-strength and high-toughness Al—Cu series cast aluminum alloy, a preparation method therefor, and the use of same in wheel hub manufacturing. Chemical components of the high-strength and high-toughness Al—Cu series cast aluminum alloy comprise the following elements in percentage by mass: 4.6-5.3% of Cu, 0.45-0.55% of Mn, 0.42-0.55% of Mg, 0.15-0.25% of Ti, 0.05-0.15% of Zr, and 0.003-0.011% of B; the chemical components of the high-strength and high-toughness Al—Cu series cast aluminum alloy further comprising Fe and Si in percentage by mass, 0.03<Fe?0.2%, the mass ratio of Fe:Si being (2-6):1, and the balance being Al and inevitable impurities. The high-strength and high-toughness Al—Cu series cast aluminum alloy has low cost, satisfies the market requirements on aluminum alloy parts such as vehicle wheel hubs, and therefore is of important significance in accelerating weight reduction of vehicles and achieving the objects of energy conservation and emission reduction.

Abstract: An intra prediction method by using cross component liner prediction mode (CCLM), includes: determining a luma block corresponding to a current chroma block; obtaining luma reference samples of the luma block based on determining L available chroma reference samples of the current chroma block, wherein the obtained luma reference samples of the luma block are down-sampled luma reference samples; calculating linear model coefficients based on the luma reference samples and chroma reference samples that correspond to the luma reference samples; and obtaining a prediction for the current chroma block based on the linear model coefficients and values of a down-sampled luma block of the luma block.

Abstract: A thermal recovery construction method includes the steps of determining design parameters of a current thermal recovery construction according to geological data and reservoir characteristics of a current oil deposit area to be stimulated; preparing, according to the design parameters, coal water slurry required for the current thermal recovery construction; injecting the coal water slurry into a target reservoir through an injection well with an injection mode of the design parameters, along with combustion adjuvant with an amount selected based on a total injection amount of the coal water slurry; and inducing spontaneous combustion of the coal water slurry by thermal energy generated by a downhole heating device, and performing control and displacement on the reservoir with the thermal energy and gas generated after the combustion.

Abstract: Embodiments of this application disclose an interpolation filter training method and apparatus, a video picture encoding and decoding method, an encoder, and a decoder. According to the training method, a first sub-pixel picture obtained through interpolation by using a conventional interpolation filter is used as label data, to train a second interpolation filter, so that the second interpolation filter obtained through training can be directly used for a pixel value, obtained through interpolation, of a first fractional pixel position. Therefore, the label data is more accurate, and coding performance of a video picture is improved. According to the encoding method, during inter prediction, a target interpolation filter used for a current encoding picture block is determined from a set of candidate interpolation filters, and the encoder selects, according to content of the current encoding picture block, an appropriate interpolation filter to perform an interpolation operation.

Abstract: Image encoding and decoding methods, apparatuses and computer-readable media are described. An example image encoding method includes: determining N encoded units from adjacent encoded units of a to-be-encoded unit according to a first preset rule, where a motion prediction mode of the N encoded units is the same as that of the to-be-encoded unit; generating an nth motion vector group by using a first preset algorithm and based on a motion vector of an nth encoded unit; determining, from obtained N motion vector groups according to a second preset rule, one motion vector group as an optimal motion vector group; determining a prediction sample value of each sample unit in the to-be-encoded unit by using a second preset algorithm and based on the optimal motion vector group; and encoding a prediction residual of each sample unit and an index identifier of the optimal motion vector group, to obtain a bitstream corresponding to the to-be-encoded unit.

Abstract: The present disclosure provides an image decoding method based on a wavelet transform. The method includes: performing entropy decoding on the compressed bitstream to obtain a reconstructed wavelet coefficient; dequantizing the reconstructed wavelet coefficient to obtain a dequantized wavelet coefficient; and performing N inverse wavelet transforms on the dequantized wavelet coefficient based on the wavelet transform model to obtain a reconstructed image, where the wavelet transform model is implemented based on a convolutional neural network (CNN).

Abstract: The present application discloses example encoding methods and apparatuses, and decoding methods and apparatuses, and relate to the field of media technologies. One example method includes obtaining a bitstream, and obtaining a plurality of data packets based on the bitstream. Based on identifiers of the plurality of data packets, the plurality of data packets is sent to a plurality of entropy decoders for decoding, to obtain a plurality of syntax elements. Media content is restored based on the plurality of syntax elements.

Abstract: A video encoder, a video decoder, and a corresponding method are provided. The method includes: parsing a bitstream to obtain an index, where the index indicates a target candidate motion vector group of a current coding block; determining the target candidate motion vector group in an affine candidate motion vector list based on the index, where the affine candidate motion vector list includes at least a first candidate motion vector group, the first candidate motion vector group is obtained based on a first group of control points of a first neighboring affine coding block, and the first group of control points is determined based on a CTU located relative to the current coding block, wherein the first neighboring affine coding block is located in the CTU; and predicting a predicted sample value of the current coding block based on the target candidate motion vector group.

Abstract: A video processing method includes: obtaining prediction information of a CU; obtaining, when the CU comprises only one residual TU and a size of the residual TU is less than a size of the CU, a TU partitioning mode of the CU and a residual position of the residual TU, wherein the TU partitioning mode and the residual position are used to determine a horizontal transform type and a vertical transform type; obtaining transform coefficients of the residual TU based on the horizontal transform type and the vertical transform type; and generating a bitstream that is for storing or transmitting and that includes the prediction information, a first flag that indicates the TU partitioning mode, a second flag that indicates the residual position, and the transform coefficients.

Abstract: A computer-implemented method of determining whether an inter prediction process is enabled is disclosed in this application. The method includes obtaining an indication, where the indication indicates whether a slice-level weighted prediction mechanism is to be enabled in the inter prediction process. The method further includes determining, based on the indication, whether a non-rectangular merge mode or whether the slice-level weighted prediction mechanism is to be enabled in the inter prediction process. Furthermore, an encoder for encoding a data stream, like a video stream, using an inter prediction process and a decoder for decoding an encoded data stream, like an encoded video stream, using an inter prediction process, are disclosed.

Abstract: This application discloses an inter prediction method and apparatus. The method includes: determining a plurality of first picture blocks in a to-be-processed picture block based on a preset picture split width, a preset picture split height, and a width and a height of the to-be-processed picture block; separately performing bi-directional optical flow prediction on the plurality of first picture blocks to obtain a predictor of each first picture block; and obtaining a predictor of the to-be-processed picture block with a combination of the predictors of the plurality of first picture blocks. The apparatus includes a determining module, a prediction module, and a combination module. In this application, complexity of implementing inter prediction can be reduced, and processing efficiency can be improved.

Abstract: A prediction mode determining method and apparatus are described. A prediction mode status of a child node of a target node is determined based on an area and a split manner of the target node, where the prediction mode status includes intra prediction mode only and inter prediction mode only. Further, a prediction mode of the child node is determined based on the prediction mode status of the child node. In this way, a same prediction mode is used for all child nodes obtained by splitting the target node. This facilitates pipeline processing of hardware, increases a subsequent processing speed, and improves video coding efficiency.

Abstract: The present disclosure provides a method of decoding a coded video bitstream, the method comprising: obtaining a picture-level syntax element included in a picture header of the current picture by parsing the video bitstream, wherein the picture-level syntax element is used to specify whether an adaptive loop filter (ALF) is enabled for the current picture; in case that the picture-level syntax element specifies the adaptive loop filter is enabled for the current picture, obtaining a parameter set identifier included in the picture header, wherein the parameter set identifier is used to indicate a first parameter set comprising a set of ALF parameters, and wherein a temporal identifier of the first parameter set is less than or equal to a temporal identifier of the current picture; performing the adaptive loop filter on at least one slice of the current picture based on the first parameter set.

Abstract: An exemplary light emitting device includes a solid-state light emitter which generates blue excitation light with a dominant wavelength from 440 nm to 470 nm; a yellow to green photoluminescence material which generates light with a peak emission wavelength from 500 nm to 575 nm; a broadband orange to red photoluminescence material which generates light with a narrowband peak emission wavelength from 580 nm to 620 nm; and a narrowband red manganese-activated fluoride phosphor which generates light with a peak emission wavelength from 625 nm to 635 nm. The device generates white light with a spectrum having a broad emission peak from about 530 nm to about 600 nm and a narrow emission peak and where the ratio of the peak emission intensity of the broad emission peak to the peak emission intensity of the narrow emission peak is at least 20%.

Abstract: A method of coding is described. The method can include obtaining a bitstream for a current picture, obtaining a value of a first indicator for the current picture according to the bitstream indicating a slice type, and obtaining a value of a second indicator for the current picture according to the bitstream indicating whether a weighted prediction parameter is present in a picture header or slice header of the bitstream. The method can also include parsing a value of the weighted prediction parameter for a current block of a current slice of the current picture from the bitstream. Furthermore, the method can include predicting the current block according to the value of the weighted prediction parameter.

Abstract: A method related to adaptive usage of pixel-based and block-based affine motion compensation and includes performing sub-block-based affine transform prediction on an affine block with a first sub-block size if the first sub-block size is greater than or equal to a first sub-block size threshold. If the first sub-block size is less than the first sub-block size threshold, it is determined whether a pixel-based motion vector field is not applied for performing motion compensation for the affine block. If the motion vector field is not applied, a sub-block-based affine motion prediction is performed with a second sub-block size that is based on the first sub-block size. If the pixel-based motion vector field is applied, motion compensation is performed for a sub-block of the affine block using the pixel-based motion vector field.

Abstract: A system that enables synchronized interaction between voice input and a visual user interface is described. The system receives, by a network site via a first user interaction channel, a user request to perform an action with a listing network platform. The system establishes, by the network site, a session associated with a session identifier for the user request and provides an option for the user to continue interacting with the listing network platform through a second user interaction channel. The system, in response to receiving input that selects the option, uses the session identifier associated with the session to synchronize a first set of inputs received through the first user interaction channel with a second set of inputs received through the second user interaction channel to complete the action on the listing network platform.

Abstract: The present disclosure relates to an apparatus, an encoder, a decoder and corresponding methods for prediction refinement with optical flow (PROF) for an affine coded block, in which when a plurality of optical flow decision conditions are fulfilled for the affine coded block, performing a PROF process for a current sub-block of the affine coded block to obtain refined prediction sample values of the current sub-block of the affine coded block. After the sub-block based affine motion compensation is performed, a prediction sample value of the current sample of the current sub-block is refined by adding a delta prediction value. Thus, it allows for a better trade-off between coding complexity and prediction accuracy.