Abstract: A video coding device receives a bitstream including video data. The device determines an intra-prediction mode subset. The intra-prediction mode subset include intra-prediction modes that correlate to a plurality of reference lines for a current image block and excludes intra-prediction modes that correlate to a primary reference line for the current image block. When a first intra-prediction mode is included in the intra-prediction mode subset, the device decodes the first intra-prediction mode by an alternative intra-prediction mode index. When the first intra-prediction mode is not included in the intra-prediction mode subset, the device decodes the first intra-prediction mode by an intra-prediction mode index. The device presents video data including an image block decoded based on the first intra-prediction mode.

Abstract: The present disclosure provides a photoacoustic image reconstruction method for suppressing artifacts, including: acquiring relevant parameters of the system; selecting a suitable pixel size and dividing the imaging area into multiple pixels; traversing each pixel, calculating multiple delay and summations according to the time sequence, and restoring the signal waveform; calculating the signal envelope of the signal recovered from each pixel, performing signal suppression, suppressing artifacts in the signal, and retaining real signal; the real signal value in the suppressed signal is taken as the gray value of the pixel in the image, and is saved in the picture to complete the reconstruction of the image.

Abstract: A method of decoding a coded video bitstream includes obtaining a sequence parameter set (SPS)-level syntax element from the bitstream, wherein that the SPS-level syntax element equals to a preset value specifies that no video parameter set (VPS) is referred to by a SPS, and the SPS-level syntax element greater than the preset value specifies that the SPS refers to a VPS, obtaining, as the SPS-level syntax element is greater than the preset value, an inter-layer enabled syntax element specifying whether one or more inter-layer reference pictures (ILRPs) are enabled to be used for the inter prediction of one or more coded pictures, and predicting one or more coded pictures based on the value of the inter-layer enabled syntax element.

Abstract: Disclosed are an inter prediction method based on an affine prediction mode and a related apparatus. The method includes: obtaining a predicted pixel value of a current affine block; obtaining an LIC flag of the current affine block, where the LIC flag is used to indicate whether local illumination compensation LIC is applied to the current affine block; and when the LIC flag indicates that LIC is applied to the current affine block, updating the predicted pixel value of the current affine block based on an update coefficient for LIC, to obtain an updated predicted pixel value of the current affine block.

Abstract: Example implementations relate to gathering audio data. For example, a system can include a range sensor to determine a location and distance of an object. The system can include a microphone to gather audio data at the location and from within a threshold proximity of the object. The system can include a computing device to determine a portion of audio data outside the threshold proximity of the object to remove.

Abstract: Techniques are disclosed for tracking objects in sensor data, such as multiple images or multiple LIDAR clouds. The techniques may include comparing segmentations of sensor data such as by, for example, determining a similarity of a first segmentation of first sensor data and a second segmentation of second sensor data. Comparing the similarity may comprise determining a first embedding associated with the first segmentation and a second embedding associated with the second segmentation and determining a distance between the first embedding and the second embedding. The techniques may improve the accuracy and/or safety of systems integrating the techniques discussed herein.

Abstract: Techniques are described for detecting whether a lane of a roadway is open or closed. Detecting a lane as being closed may include detecting an object in or near the lane, which may comprise determining a size, location, and/or classification associated with the object, and dilating the size associated with the object. The lane may be indicated as being closed if a distance between a dilated object detection and another object detection, dilated object detection, or lane extent is less than a threshold distance. The techniques may additionally or alternatively comprise determining an alternative lane shape based at least in part on one or more object detections and/or determining that one or more lanes are closed and/or uploading a lane closure and/or alternative lane shape to a central database for retrieval by/dissemination to other computing devices.

Abstract: A video coding device receives a bitstream including video data. The device determines an intra-prediction mode subset. The intra-prediction mode subset include intra-prediction modes that correlate to a plurality of reference lines for a current image block and excludes intra-prediction modes that correlate to a primary reference line for the current image block. When a first intra-prediction mode is included in the intra-prediction mode subset, the device decodes the first intra-prediction mode by an alternative intra-prediction mode index. When the first intra-prediction mode is not included in the intra-prediction mode subset, the device decodes the first intra-prediction mode by an intra-prediction mode index. The device presents video data including an image block decoded based on the first intra-prediction mode.

Abstract: This application discloses a picture display order determining method which includes: obtaining a decoding order index value of a current picture and a decoding order index value of a previous picture that is adjacent to the current picture according to a decoding order; adding 1 to a cycle identifier value when the decoding order index value of the current picture is less than the decoding order index value of the previous picture; and determining a display order index value of the current picture based on a sum of the decoding order index value of the current picture and a preset positive integer multiple of the cycle identifier value. In this application, the display order index value of the current picture progressively increases based on a display order index value of a picture that is located before the current picture according to the decoding order.

Abstract: The inter prediction method is provided, which includes: obtaining a predicted sample value of a current affine block; determining one or more luminance compensation blocks based on motion vectors of one or more subblocks of the current affine block; determining a linear model coefficient based on a first sample set and a second sample set, where the first sample set includes at least one reconstructed sample neighboring to an edge of the current affine block, the second sample set includes at least one reconstructed sample neighboring to an edge of the one or more luminance compensation blocks, and the sample in the first sample set is in a one-to-one correspondence with the sample in the second sample set; and updating the predicted sample value of the current affine block based on the linear model coefficient, to obtain an updated predicted sample value of the current affine block.

Abstract: This disclosure is directed to item-identifying carts that may be utilized by users to automatically identify items that the users place in their carts. In addition, these carts may automatically determine the outcome of respective events that occur with respect to these identified items. For example, the carts may be configured to identify one or more items that are placed into or removed from the cart, and thereafter determine one or more actions taken with respect to the identified items and a quantity of the items involved. For example, after identifying a first item and a second item either placed into or removed from the cart, the cart may determine that the user added two instances of the first item and removed one instance of the second item. In response to making this determination, the cart may update a virtual cart of a user operating the physical cart.

Abstract: An example computing device includes a connector. The connector is to mate with a display unit. The connector is to receive power from the display unit and output a display signal to the display unit. The computing device includes a non-transitory computer readable medium. The computing device also includes a processor communicatively coupled to the non-transitory computer readable medium. The processor is to retrieve a form factor of the display unit, including retrieving cooling capabilities of the display unit. The processor also is to configure the processor to comply with the cooling capabilities of the display unit.

Abstract: Apparatuses and methods for encoding and decoding are provided. The method for intra predicting a chroma sample of a block by applying cross-component linear model includes: obtaining reconstructed luma samples; determining maximum and minimum luma sample values based on the reconstructed luma samples; obtaining a difference of the maximum and minimum luma sample values. The method also includes: fetching a value out of a lookup table (LUT) by using a set of bits as an index, the set of bits following a position of the most-significant bit; obtaining linear model parameters based on the fetched value; and calculating a predicted chroma sample value by using the obtained linear model parameters. The efficiency to fetch the value out of the LUT is increased.

Abstract: This application provides a chroma block prediction method and apparatus. The method includes: obtaining chroma values of chroma samples; obtaining, luma values of luma samples corresponding to the chroma samples; obtaining, from the luma values, a first luma set and a second luma set; grouping the chroma values into a first chroma set and a second chroma set; determining a scaling coefficient in a linear model based on an average value of luma values in the first luma set, an average value of luma values in the second luma set, an average value of chroma values in the first chroma set, and an average value of chroma values in the second chroma set; determining, based on the scaling coefficient, an offset factor in the linear model; and determining prediction information of the chroma block based on the scaling coefficient and the offset factor.

Abstract: In example implementations, an apparatus is provided. The apparatus includes a housing, a haptic touch button, a sensor and a processor. The haptic touch button is coupled to a perimeter of the housing. The sensor is located inside of the housing. The processor is located inside of the housing and communicatively coupled to the haptic touch button and the sensor. The processor translates an input from the haptic touch button and an input from the sensor into a finger action.

Abstract: This application provides a chroma block prediction method and apparatus. The method includes: obtaining a maximum luma value and a minimum luma value based on luma samples corresponding to neighboring samples of a target chroma block, and calculating a first difference between the maximum luma value and the minimum luma value; if the first difference is not equal to 0, processing the first difference based on a quantity of significant bits of the first difference and a first preset bit depth to obtain a second difference; and determining, based on a first chroma value, a second chroma value, and the second difference, an intra prediction model parameter corresponding to the target chroma block, and determining prediction information of the target chroma block based on the intra prediction model parameter and luma reconstruction information corresponding to the target chroma block.

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: Embodiments of the present invention provide a motion compensating prediction method and a motion compensating prediction apparatus. The motion compensating prediction method includes: determining a location of an initial reference pixel of a current pixel in a reference image, where the current pixel is located in a first sub-image of a current image; when the initial reference pixel is located outside a second sub-image that is in the reference image and that is at a location corresponding to the first sub-image, determining a location of a target reference pixel of the current pixel in the reference image based on the location of the initial reference pixel; and determining a predicted value of a pixel value of the current pixel based on a pixel value of the target reference pixel and/or a pixel value of a pixel near the target reference pixel.

Abstract: This application provides an inter prediction method and a related apparatus. The method includes: parsing a bitstream to determine prediction information of a to-be-processed picture block, where when the prediction information indicates that a prediction direction of the to-be-processed picture block is bidirectional prediction, the bitstream does not include target identification information, where the target identification information is used to indicate to perform local illumination compensation LIC on the to-be-processed picture block; and obtaining a prediction value of the to-be-processed picture block based on the prediction information. According to the foregoing technical solutions, a video decoding speed can be accelerated without greatly affecting video quality.

Abstract: An intra prediction method and apparatus for reconstruction of unavailable reference samples are provided. The method includes obtaining an intra prediction mode of a current block, deriving availability of a reference sample of a component of the current block, substituting unavailable reference samples by using available reference samples, deriving a prediction of the current block based on the intra prediction mode and the substituted reference samples, and reconstructing the current block based on the prediction. The component includes a Cb component or a Cr component. Alternatively, the component includes a Chroma component. Since the method derives availability of the reference sample in each component, it can provide the available information more accurately.