Abstract: The present disclosure relates to an intra sub-partition (ISP) method of decoding a video signal.

Abstract: A computing device performs a method of decoding video data by reconstructing a luma block corresponding to a chroma block; searching a sub-group of a plurality of reconstructed neighboring luma samples in a predefined order to identify a maximum luma sample and a minimum luma sample; computing a down-sampled maximum luma sample corresponding to the maximum luma sample; computing a down-sampled minimum luma sample corresponding to the minimum luma sample; generating a linear model using the down-sampled maximum luma sample, the down-sampled minimum luma sample, the first reconstructed chroma sample, and the second reconstructed chroma sample; computing down-sampled luma samples from luma samples of the reconstructed luma block, wherein each down-sampled luma sample corresponds to a chroma sample of the chroma block; and predicting chroma samples of the chroma block by applying the liner model to the corresponding down-sampled luma samples.

Abstract: A method for video coding is provided. The method includes: deriving an initial motion vector (MV) of a current block; deriving a plurality of MV candidates for decoder-side motion vector refinement (DMVR); determining cost values for the initial MV and each of the MV candidates; obtaining updated cost values of both the initial MV and the MV candidates by adjusting at least one of the cost values to favor the initial MV; and deriving a refined MV based on the updated cost values of both the initial MV and the MV candidate.

Abstract: Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for decoding a video signal. The method includes obtaining a first reference picture I associated with a video block, obtaining control point motion vectors (CPMVs) of an affine coding block based on the video block, obtaining prediction samples I(i, j) of the affine coding block, deriving PROF prediction sample refinements of the affine coding block based on the PROF, receiving an LIC flag that indicates whether the LIC is applied to the affine coding block, deriving, and when the LIC is applied, LIC weight and offset based on neighboring reconstructed samples of the affine coding block and their corresponding reference samples in the first reference picture, and obtaining final prediction samples of the affine coding block based on the PROF prediction sample refinements and the LIC weight and offset.

Abstract: A phantom-free calibration method for a computerized tomography scan has the steps of: scanning a plurality of homogeneous human tissues with a computerized tomography scanner and obtaining homogeneous human tissue scan information; scanning a tissue to be tested with the computerized tomography scanner and obtaining tissue to be tested scan information; calculating a spectral characteristic parameter of the computerized tomography scanner with a computing device using a model, wherein a standard tissue parameter of the homogeneous human tissues and the human tissue scan information are used in the model; and calculating a tissue parameter of the tissue to be tested with the computing device using the model, wherein the spectral characteristic parameter and the tissue to be tested scan information are inputted in the model. The phantom-free calibration method makes the tissue parameters of the tissue to be tested more accurate and the calibration process easier and more convenient.

Abstract: A method for video coding is provided. The method includes: deriving an initial motion vector (MV) of a current block; deriving, by a decoder, an initial motion vector (MV) of a current block; determining, by the decoder, cost values for the initial MV and each of a plurality of MV candidates; obtaining, by the decoder, updated cost values by decreasing a cost value for the initial MV or increasing cost values for the MV candidates; and deriving, by the decoder, a refined MV based on the updated cost values.

Abstract: A light source device, including a first light source, providing a first light beam in a first time period of a first period; and a second light source, providing a second light beam in a second time period of the first period, is provided. The first light beam and the second light beam have the same color temperature. The first light beam and the second light beam are emitted alternately in the first period, and a color rendering index of mixed light of the first light beam and the second light beam is greater than or equal to 85.

Abstract: Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for video decoding. In one method, a decoder receives a Sequence Parameter Set (SPS) rice extension flag that indicates whether an extension of rice parameter derivation for binarization of abs_remainder and dec_abs_level is enabled. In a second method, the decoder may receive a Sequence Parameter Set (SPS) rice adaption enabled flag that indicates whether rice parameter derivation for binarization of abs_remainder and dec_abs_level is used.

Abstract: An electronic apparatus performs a method of updating an inter-predicted current block using a neighboring affine block. The electronic apparatus first identifies a pixel within the inter-predicted current block, the pixel having a first inter-predicted pixel value. Next, the electronic apparatus determines a motion vector difference for the pixel based on a set of affine parameters of the neighboring affine block and then a pixel value difference for the pixel according to the motion vector difference. The pixel value difference is an inner product of the pixel value gradient vector and the motion vector difference as the pixel value difference. Finally, the electronic apparatus updates the first inter-predicted pixel value with the pixel value difference as a second inter-predicted pixel value.

Abstract: A method of subblock-based temporal motion vector prediction is performed at a computing device. The computing device acquires a video bitstream including data associated with multiple encoded pictures. While decoding a current picture in the video bitstream, the computing device selects, according to syntax elements signaled in the video bitstream, one reference picture as a collocated picture of the current picture, and determines a temporal vector between the collocated picture and the current picture from motion information of spatially neighboring blocks of a current code unit (CU) according to a fixed order. Next, the computing device splits the current CU into multiple sub-CUs, obtains a temporal motion vector predictor for each sub-CU from the temporal vector and motion information of a block in the collocated picture that corresponds to a respective subblock of the current picture and decodes the current CU according to the temporal motion vector predictors.

Abstract: Methods and devices for video decoding are provided. The method may include obtaining a plurality of coding blocks within a video frame, where the plurality of coding blocks may include at least one chroma coding block and a plurality of luma coding blocks. Further, the method may include determining whether to apply OBMC to the at least one chroma coding block and the plurality of luma coding blocks to generate prediction samples for the video frame in response to determining that a local chroma tree partition is applied to the plurality of coding blocks.

Abstract: Methods and devices are provided for decoding a video block in GPM. The method includes: partitioning the video block into a first geometric partition and a second geometric partition; receiving a first template matching (TM) enable flag for the first geometric partition a second TM enable flag for the second geometric partition, the first TM enable flag indicating whether a uni-directional motion of the first geometric partition is refined by TM, and the second TM enable flag indicating whether a uni-directional motion of the second partition is refined by the TM; receiving a first merge GPM index for the first geometric partition and a second merge GPM index for the second geometric partition; constructing a uni-directional motion victor (MV) candidate list of the GPM; and generating a first uni-directional MV for the first geometric partition and a second uni-directional MV for the second geometric partition.

Abstract: A semiconductor device, including a substrate, a first source/drain region, a second source/drain region, and a gate structure, is provided. The substrate has an extra body portion and a fin protruding from a top surface of the substrate, wherein the fin spans the extra body portion. The first source/drain region and the second source/drain region are in the fin. The gate structure spans the fin, is located above the extra body portion, and is located between the first source/drain region and the second source/drain region.

Abstract: Methods and devices are provided for deriving constructed affine merge candidates. The method includes obtaining a first reference picture and a second reference picture associated with an inter mode coded block, where the first reference picture is before a current picture and the second reference picture is after the current picture in display order, obtaining a first motion vector from the inter mode coded block to a reference block in the first reference picture, obtaining a second motion vector from the inter mode coded block to a reference block in the second reference picture, applying bi-directional optical flow (BDOF) or decoder-side motion vector refinement (DMVR) to the inter mode coded block based on a mode information of the inter mode coded block, and predicting a bi-prediction of the inter mode coded block based on the applied BDOF or DMVR.

Abstract: A method of video coding comprises independently generating a respective intra prediction for each of a plurality of corresponding sub-partitions. Each respective intra prediction is generated using a plurality of reference samples from a current coding block. Illustratively, no reconstructed sample from a first sub-partition of the plurality of corresponding sub-partitions is used to generate a respective intra prediction for any other sub-partition of the plurality of corresponding sub-partitions, and each of the plurality of corresponding sub-partitions has a width less than or equal to 2.

Abstract: A method of subblock-based temporal motion vector prediction is performed at a computing device. The computing device acquires a video bitstream including data associated with multiple encoded pictures. While decoding a current picture in the video bitstream, the computing device selects, according to syntax elements signaled in the video bitstream, one reference picture as a collocated picture of the current picture, and determines a temporal vector between the collocated picture and the current picture from motion information of spatially neighboring blocks of a current code unit (CU) according to a fixed order. Next, the computing device splits the current CU into multiple sub-CUs, obtains a temporal motion vector predictor for each sub-CU from the temporal vector and motion information of a block in the collocated picture that corresponds to a respective subblock of the current picture and decodes the current CU according to the temporal motion vector predictors.

Abstract: A method for video coding is provided, including: providing a motion vector (MV) rounding process that is configured to perform a MV rounding operation; applying the MV rounding process to at least a first MV used in a first prediction tool selected from a first set of tools including: pair-wise merge candidate, triangle prediction mode, and affine mode; and applying the MV rounding process to at least a second MV used in a second prediction tool selected from a second set of tools including: temporal motion vector prediction (TMVP), alternative temporal motion vector prediction (ATMVP), and merge mode with motion vector differences (MMVD).

Abstract: Embodiments are disclosed for submersion detection and underwater depth and low-latency temperature estimation. In an embodiment, a method comprises: determining a first set of vertical accelerations obtained from an inertial sensor of a wearable device; determining a second set of vertical accelerations obtained from pressure data; determining a first feature associated with a correlation between the first and second sets of vertical accelerations; and determining that the wearable device is submerged or not submerged in water based on a machine learning model applied to the first feature. In another embodiment, a method comprises: determining a submersion state of a wearable device; and responsive to the submersion state being submerged, computing a forward estimate of water temperature based on measured ambient water temperature at the water surface, a temperature error lookup table, and a rate of change of the ambient water temperature.

Abstract: Embodiments are disclosed for crash detection on one or more mobile devices (e.g., smartwatch and/or smartphone). In some embodiments, a method comprises: detecting, with at least one processor, a crash event on a crash device; extracting, with the at least one processor, multimodal features from sensor data generated by multiple sensing modalities of the crash device; computing, with the at least one processor, a plurality of crash decisions based on a plurality of machine learning models applied to the multimodal features; and determining, with the at least one processor, that a severe vehicle crash has occurred involving the crash device based on the plurality of crash decisions and a severity model.