Abstract: Implementations of the present disclosure provide a solution for reordering merge candidates. In this solution, during a conversion between a current video block of a video and a bitstream of the video, a template matching cost associated with each of a plurality of candidates of motion information for the current video block is determined. The template matching cost is determined based on a first difference between a set of neighboring samples of the current video block and a set of reference samples corresponding to the set of neighboring samples, and a second difference between a set of reconstructed samples neighboring to the set of neighboring samples and the set of reference samples. The set of reference samples is determined based on motion information indicated by a respective candidate. Then, the plurality of candidates of motion information is reordered based on the template matching cost.

Abstract: The present disclosure relates to systems and methods for image reconstruction. The systems may obtain one or more projection images of an object and a first reconstruction image corresponding to the one or more projection images. The systems may determine, for each of the one or more projection images, an initial range of a target region on the projection image based on the first reconstruction image. The target region may be a low-gray region generated on the projection image by a substance with an X-ray attenuation coefficient greater than a predetermined threshold. The systems may determine, within the initial range, the target region on the projection image. The systems may generate a three-dimensional (3D) image of the object based at least on target regions corresponding to the one or more projection images.

Abstract: A method for predicting motion information of a picture block and a related product is provided. The method includes: determining a candidate motion information list of a current picture block, where the candidate motion information list includes at least one combined candidate motion information, one combined candidate motion information is obtained by weighting P candidate motion information by using corresponding weighting factors; determining target motion information in the candidate motion information list; and predicting motion information of the current picture block based on the target motion information.

Abstract: The present invention provides a method for synthesizing a fluorine-containing chiral amine compound. The method comprised: reacting an amino donor with a fluorine-containing dihydroxy ketal compound under a catalysis of a transaminase to generate the fluorine-containing chiral amine compound, wherein the transaminase is derived from a plurality of strains. The transaminase of the present application has substrate specificity on the fluorine-containing dihydroxy ketal compound, and may effectively catalyze this type of the substrate to be converted into the fluorine-containing chiral amine compound. In addition, the transaminase has catalytic activity on a plurality of the fluorine-containing dihydroxy ketal compounds, and is relatively high in reaction selectivity and activity. The method catalyzed by the bio-enzyme is not only short in route, but also high in product yield, and the production using the method reduces cost, organic solvents and three wastes.

Abstract: Devices, systems, and methods for lossless coding for visual media coding are described. An exemplary method for video processing includes determining, based on a current video block of a video satisfying a dimension constraint, that coding modes are enabled for representing the current video block in a bitstream representation, where the dimension constraint states that a same set of allowed dimensions for the current video block is disabled for the coding modes, and where, for an encoding operation, the coding modes represent the current video block in the bitstream representation without using a transform operation, or where, for a decoding operation, the coding modes are used to obtain the current video block without using an inverse transform operation; and performing a conversion between the current video block and the bitstream representation of the video based on one of the coding modes.

Abstract: Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. The method comprises: applying, during a conversion between a target block of a video and a bitstream of the target block, a reordering process to a motion candidate list for the target block; determining a set of pairwise average motion candidates by averaging a set of predefined pairs of reordered motion candidates; and performing the conversion based on the set of pairwise average motion candidates.

Abstract: The present disclosure provides a multi-modal method for classifying a thyroid nodule based on ultrasound (US) and infrared thermal (IRT) images. Based on ultrasound and infrared thermal images and in combination with a multi-modal learning method, the present disclosure provides an adaptive multi-modal hybrid (AmmH) model which is composed of three parts: an intra-modal hybrid encoder (HIME), an adaptive cross-modal encoder (ACME), and a multilayer perceptron (MLP) head. The HIME is capable of modeling a global feature while extracting a local feature. The ACME is capable of customizing personalized modality-weights according to different cases and performing information interaction and fusion of inter-modal features. The MLP head classifies a fused feature obtained.

Abstract: Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. The method comprises: applying, during a conversion between a target block of a video and a bitstream of the target block, a reordering or refined process to motion candidates during constructing a motion candidate list based on the motion candidates; and performing the conversion based on the constructed motion candidate list.

Abstract: Embodiments of the present disclosure provide a system for treating oily solid material and a method for treating oily solid material. The system for treating oily solid material includes a thermal desorption module, a thermal desorption vapor treatment module and an incondensable gas treatment module. The thermal desorption module includes a vertical furnace body, a stirring shaft and an electromagnetic induction heating coil assembly. The electromagnetic induction heating coil assembly includes a plurality of coil units sequentially arranged at an outer side of the sidewall of the vertical furnace body along the height direction (Y). A heating power of each of the plurality of coil units is configured to be independently controlled.

Abstract: Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. The method comprises: applying, during a conversion between a target video block of a video and a bitstream of the video, at least one refinement process to the target video block based on a cost. The cost depends on a plurality of reference samples corresponding to the target video block and a plurality of further samples corresponding to a template of the target video block. The method further comprises: performing the conversion between the target video block and the bitstream. Compared with the conventional solution, the proposed method can advantageously improve the coding effectiveness and coding efficiency.

Abstract: A method for video processing comprises: determining, during a conversion between a target video block of a video and a bitstream of the video, an intra block copy (IBC)-based mode to be applied for the target video block based on at least one of: a mode based on affine motion compensated prediction, an affine IBC merge mode with block vector differences (MBVD), an intra template matching for IBC mode (TM_IBC), wherein a derived block vector (BV) is used as base candidates for the MBVD, an intra template matching for IBC mode (TM_IBC), wherein a derived BV is used as BV prediction candidate for IBC non-merge mode, an IBC prediction mode based on multi-hypothesis, a mode based on overlapped block motion compensation (OBMC), a mode based on geometric partitioning with the MBVD, or a mode based on geometric partitioning with TM; and performing the conversion based on the IBC-based mode.

Abstract: Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. The method comprises: determining a cost during a conversion between a current video block of a video and a bitstream of the video, the cost indicting a degree of distortion between two target blocks of the video and an amount of information for refinement of coding data of the current video block; refining the coding data based on the cost and the two target blocks; and performing the conversion based on the refined coding data. Compared with the conventional solution, the proposed method can advantageously reduce the coding bits while maintaining the coding quality.

Abstract: Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. The method comprises: determining, during a conversion between a current video block of a video and a bitstream of the video, a cost based on at least two error metrics associated with two target blocks of the video, the cost indicting a degree of distortion between the two target blocks; refining coding data of the current video block based on the cost and the two target blocks; and performing the conversion based on the refined coding data. Compare with the conventional solution, the proposed method can advantageously improve the coding quality and the coding efficiency.

Abstract: Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. The method comprises: obtaining, during a conversion between a target block of a video and a bitstream of the video, a list of adaptive decoder side motion vector refinement (ADMVR) merge candidates for the target block in an ADMVR merge mode; reordering the list of ADMVR merge candidates; and performing the conversion based on the reordered list of ADMVR merge candidates. Compared with the conventional solution, the proposed method can advantageously improve the coding effectiveness and coding efficiency.

Abstract: Embodiments of the present disclosure provide a solution for video processing. A method for video processing comprises: reordering, during a conversion between a current video block of a video and a bitstream of the video, a plurality of candidate signs of a motion vector difference (MVD) for a motion candidate of the current video block; and performing the conversion based on the reordered plurality of candidate signs. Compared with the conventional solution, the proposed method can advantageously improve coding efficiency and coding quality.

Abstract: Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. The method comprises: obtaining, during a conversion between a target block of a video and a bitstream of the video, a list of regular merge candidates for the target block in a regular merge mode; reordering the list of regular merge candidates based on a determination whether a condition is satisfied to perform decoder-side motion vector refinement (DMVR) or multi-pass DMVR process for a regular merge candidate in the list of regular merge candidates; and performing the conversion based on the reordered list of regular merge candidates. Compared with the conventional solution, the proposed method can advantageously improve the coding effectiveness and coding efficiency.

Abstract: Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. The method comprises: applying, during a conversion between a target video block of a video and a bitstream of the video, a multi-hypothesis prediction process for the target video block based on a plurality of motion candidates from a non-regular merge list; and performing the conversion based on a result of the multi-hypothesis prediction process. Compared with the conventional solution, the proposed method can advantageously improve the coding efficiency and performance.

Abstract: Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. The method comprises: determining, during a conversion between a target video block of a video and a bitstream of the video, whether a block vector (BV) candidate of the target video block is valid; in accordance with a determination that the BV candidate is valid, adding the BV candidate in an intra block copy (IBC) candidate list; and performing the conversion based on the IBC candidate list.

Abstract: Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. The method comprises: constructing, during a conversion between a target block of a video and a bitstream of the video, a list of template matching (TM) merge candidates for the target block in a TM merge mode; reordering a TM merge candidate in the list of TM merge candidates based on a determination whether a first condition is satisfied to perform TM refinement for the TM merge candidate and a second condition is satisfied to perform decoder-side motion vector refinement (DMVR) or multi-pass DMVR for the TM merge candidate; and performing the conversion based on the reordered TM merge candidate. Compared with the conventional solution, the proposed method can advantageously improve the coding effectiveness and coding efficiency.

Abstract: Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. The method comprises: applying, during a conversion between a target video block of a video and a bitstream of the video, bilateral matching to refine uni-directional motion information for the target video block, to obtain refined motion information; and performing the conversion based on the refined motion information. Compared with the conventional solution, the proposed method can advantageously improve the coding efficiency and performance.