Abstract: A semiconductor device and method of manufacturing the same are provided. The semiconductor device includes a substrate and a gate structure disposed on the substrate. The semiconductor device also includes a source region and a drain region disposed within the substrate. The substrate includes a drift region laterally extending between the source region and the drain region. The semiconductor device further includes a first stressor layer disposed over the drift region of the substrate. The first stressor layer is configured to apply a first stress to the drift region of the substrate. In addition, the semiconductor device includes a second stressor layer disposed on the first stressor layer. The second stressor layer is configured to apply a second stress to the drift region of the substrate, and the first stress is opposite to the second stress.

Abstract: An example device for decoding video data includes one or more processors implemented in circuitry and configured to: generate an inter-prediction block for a current block of video data; generate an intra-prediction block for the current block of video data; generate a final prediction block for the current block of video data from the inter-prediction block and the intra-prediction block, including performing each of combined inter/intra prediction (CIIP) mode, overlapped block motion compensation (OBMC), and luma mapping with chroma scaling (LMCS) while generating the final prediction block; and decode the current block of video data using the final prediction block. To generate the final prediction block, the processors may perform LMCS on a first inter-prediction sub-block, combine the LMCS-mapped first inter-prediction sub-block with the intra-prediction block using CIIP, and perform OBMC between the first CIIP prediction block and a second inter-prediction sub-block.

Abstract: An example device includes memory configured to store the video data and one or more processors implemented in circuitry and communicatively coupled to the memory. The one or more processors are configured to determine at least one of a temporal candidate or a history-based candidate and determine at least one non-adjacent candidate, wherein the at least one non-adjacent candidate is from a unit that is not adjacent to a current prediction unit (PU). The one or more processors are configured to determine an advanced motion vector predictor (AMVP) candidate list including the at least one of the temporal candidate or the history-based candidate and the at least one non-adjacent candidate. The at least one non-adjacent candidate is added to the AMVP candidate list after the temporal candidate or before the history-based candidate. The one or more processors are configured to code the current PU based on the AMVP candidate list.

Abstract: Systems and techniques are provided for processing video data. For example, the systems and techniques can include obtaining a current picture of video data and obtaining reference pictures for the current picture from the video data. A merge mode candidate can be determined for the current picture. First and second motion vectors can be identified for the merge mode candidate. A motion vector search strategy can be selected for the merge mode candidate from a plurality of motion vector search strategies. The selected motion vector search strategy can be associated with one or more constraints corresponding to at least one of the first motion vector or the second motion vector. The selected motion vector search strategy can be used to determine refined motion vectors based on the first motion vector, the second motion vector, and the reference pictures. The merge mode candidate can be processed using the refined motion vectors.

Abstract: A device for decoding video data comprises one or more processors configured to: obtain a syntax element from a bitstream that includes an encoded representation of the video data; determine, based on the syntax element, that a template-matching tool is enabled; based on the template-matching tool being enabled, applying the template-matching tool to generate a prediction block for a current coding unit (CU) of the video data; and reconstruct the current CU based on the prediction block for the current CU.

Abstract: An example device for decoding video data includes one or more processors configured to determine merge mode information for a current block, the merge mode information indicating that motion information for a current block is to be predicted using a first predictor motion vector and a second predictor motion vector; determine a first motion vector difference (MVD) for the first predictor motion vector and a second MVD for the second predictor motion vector, the second MVD being different than the first MVD; form a first motion vector equaling a combination of the first motion vector predictor and the first MVD; form a second motion vector equaling a combination of the second motion vector predictor and the second MVD; generate a prediction block using the first motion vector and the second motion vector; and decode the current block using the prediction block.

Abstract: A video decoder may be configured to determine a motion vector and a motion vector precision for a current block; identify a current block template within the current picture; search within a search area for a final reference block template that corresponds to the current block template, wherein to search within the search area, the one or more processors are further configured to: identify an initial reference block template based on the motion vector, search other reference block templates around the initial reference block template using a step size that is set to an initial step size, and iteratively reduce the step size from the initial step size until the step size is set to a final step size that equals the motion vector precision; determine a prediction block for the current block based on the final reference block template.

Abstract: A video coder is configured to determine bi-directional motion vectors of a current block of the video data and determine that a condition is satisfied with respect to the current block based on each component of the bi-directional motion vectors of the current block being less than a threshold value. The video coder is further configured to, based on the condition being satisfied with respect to the current block, early terminate application of a motion vector refinement process to the bi-directional motion vectors of the current block. The video coder is further configured to determine a prediction block for the current block based on the bi-directional motion vectors of the current block and reconstruct the current block based on the prediction block for the current block.

Abstract: A device for decoding video data includes a memory configured to store video data; and one or more processors implemented in circuitry and configured to: determine that a boundary block of a picture of the video data is bi-directional inter-predicted using a first motion vector and a second motion vector, the boundary block having an edge that touches an edge of the picture; decode the picture, including decoding the boundary block; form a first intermediate padding block using the first motion vector; form a second intermediate padding block using the second motion vector; form a padding block using the first intermediate padding block and the second intermediate padding block; and assign padding values of the padding block to a padding region of the picture neighboring the boundary block on an opposite side of the edge of the picture.

Abstract: An example device for decoding video data includes memory configured to store the video data and one or more processors implemented in circuitry and communicatively coupled to the memory. The one or more processors are configured to reshape a pixel domain reference template block using a forward mapping function into a mapped domain reference template block and derive local illumination compensation (LIC) model parameters from the mapped domain reference template block and a mapped domain neighboring reconstruction template block. The one or more processors are configured to apply the LIC model parameters to motion-compensated prediction signals and decode the video data based on the application of the LIC model parameters.

Abstract: A video decoder may be configured to determine a motion vector and a motion vector precision for a current block; identify a current block template within the current picture; search within a search area for a final reference block template that corresponds to the current block template, wherein to search within the search area, the one or more processors are further configured to: identify an initial reference block template based on the motion vector, search other reference block templates around the initial reference block template using a step size that is set to an initial step size, and iteratively reduce the step size from the initial step size until the step size is set to a final step size that equals the motion vector precision; determine a prediction block for the current block based on the final reference block template.

Abstract: A video decoder obtains a first triangle merging index syntax element specifying a first triangle merging candidate index. The first triangle merging candidate index indicates a first triangle merging candidate of a triangular shape-based motion compensation candidate list. The video decoder may determine whether the maximum number of triangle merging candidates is greater than 2. Based on the maximum number of triangle merging candidates not being greater than 2, the video decoder may infer that a second triangle merging candidate index indicates a second triangle merging candidate of the triangular shape-based motion compensation candidate list without obtaining any syntax element specifying the second triangle merging candidate index from the bitstream, the second triangle merging candidate being different from the first triangle merging candidate.

Abstract: An example device for decoding video data includes one or more processors implemented in circuitry and configured t: form first and second prediction blocks using first and second motion vectors and combine the first and second prediction blocks according to BDOF to form a final prediction block. For at least one sample location, the one or more processors are configured to determine that a first predictor for the at least one sample location is outside of a boundary of the first reference picture; determine that a second predictor for the at least one sample location is within a boundary of the second reference picture; set the first predictor equal to the second predictor; and determine a final BDOF value for a sample at the at least one sample location using the first predictor and the second predictor.

Abstract: A magnetic tunnel junction (MTJ) element includes a reference layer, a tunnel barrier layer, a free layer, and a dusting layer. The reference layer has a fixed magnetic orientation. The tunnel barrier layer is disposed on the reference layer, and includes an insulating material. The free layer has a changeable magnetic orientation, and includes a first surface and a second surface. The second surface is disposed to confront the tunnel barrier layer and opposite to the first surface. The dusting layer is formed on one of the first and second surfaces of the free layer, and includes a non-magnetic metal. Another aspect of the MTJ element, and a method for manufacturing the MTJ element are also disclosed.

Abstract: A method of encoding or decoding video data includes determining that geometric partition mode is enabled for a current block of the video data, the geometric partition mode comprising a plurality of split modes that each defines an edge for partitioning; for each split mode among at least two of the plurality of split modes, determining a respective cost associated with a respective split mode; constructing, based on the respective costs associated with the respective split modes, a mapping list including index values respectively associated with values indicative of the respective split modes, where a lower index value is associated with a first split mode having a lower cost than a second split mode with a higher index value; determining a split mode amongst the plurality of split modes within the mapping list; and reconstructing a current block of the video data based on the split mode.

Abstract: A video encoder and video decoder may determine to enable or disable a template-based inter prediction technique based on whether reference picture resampling or weighted prediction are used. A video encoder and video decoder may determine that a reference picture resampling mode is enabled. determine not to apply a template-based inter prediction technique to the video data based on the reference picture resampling mode being enabled, and code the video data using inter prediction without applying the template-based inter prediction technique.

Abstract: A PET hydrolase having improved thermal stability is disclosed. The PET hydrolase has a modified amino acid sequence of SEQ ID NO: 2 or a modified amino acid sequence with at least 80% sequence identity of SEQ ID NO: 2, wherein the modification is a substitution of asparagine at position 248 or a corresponding position with proline.

Abstract: A method of decoding video data may comprise decoding data from an encoded bitstream to generate motion vectors and performing a decoder-side motion vector refinement (DMVR) process on one or more of the motion vectors. Performing the DMVR process may include determining one or more characteristics of current video block being decoded and determining a search area for the DMVR process for the current video block based on the determined one or more characteristics of the current video block.

Abstract: A video coder is configured to form, in a symmetric motion vector difference mode, a List 0 (L0) base vector using a L0 Advanced Motion Vector Prediction (AMVP) candidate list and a List 1 (L1) base vector using a L1 AMVP candidate list; determine a refined L0 motion vector and a refined L1 motion vector by performing a decoder-side motion vector refinement process that refines the L0 base vector and the L1 base vector; and use the refined L0 motion vector and the refined L1 motion vector to determine a prediction block for a current block of a current picture of the video data.

Abstract: A method of decoding video data includes determining a plurality of hypotheses of a current block based on a plurality of motion vectors. Each of the plurality of motion vectors is associated with one of the plurality of hypotheses, and each of the plurality of hypotheses is based on a set of samples in a reference picture having a motion vector that identifies a top-left sample of the set of samples. The method includes determining one or more neighboring samples in the same picture as the current block, for each of the plurality of hypotheses, determining respective correlation values between at least one sample of a respective hypothesis and at least one sample of the one or more neighboring samples, determining the motion vector for the current block based on the determined respective correlation values, and reconstructing the current block based on the determined motion vector.