Abstract: An electronic apparatus performs a method of decoding video data, including: receiving, a plurality of frames, each including a first component and a second component; determining, for a first frame, one or more classifiers for the second component respectively from one or more samples of the first component associated with a respective sample of the second component; and when a received syntax element indicates that differential pulse-code modulation (DPCM) is enabled for signalling a first group of differential sample offsets for the second component of a second frame according to the one or more classifiers: determining a second group of sample offsets for the second component of the second frame by adding the first group of differential sample offsets of the second frame to a first group of sample offsets for the second component of the first frame according to the one or more classifiers.

Abstract: In certain embodiments, a system includes: an inspection station configured to receive a die vessel, wherein the inspection station is configured to inspect the die vessel for defects; a desiccant station configured to receive the die vessel from the inspection station, wherein the desiccant station is configured to add a desiccant to the die vessel; a bundle station configured to receive the die vessel from the desiccant station, wherein the bundle station is configured to combine the die vessel with another die vessel as a die bundle; and a bagging station configured to receive the die bundle from the bundle station, wherein the bagging station is configured to dispose the die bundle in a die bag and to heat seal the die bag with the die bundle inside.

Abstract: A method includes attaching an integrated circuit die adjacent to a first substrate, the integrated circuit die comprising: an active device in a second substrate; a pad adjacent to the second substrate; and a first dielectric layer adjacent to the second substrate, the first dielectric layer comprising a polyimide with an ester group; forming an encapsulant around the integrated circuit die; and removing the first dielectric layer.

Abstract: A selective EMI shielding structure for a semiconductor package and a method of fabrication thereof is disclosed. The semiconductor package, comprising: a substrate having a first face; at least one first electronic component mounted adjacent to a first region of the first face; a least one second electronic component mounted adjacent to a second region of the first face; and an encapsulant disposed over the first and the second electronic components, wherein the encapsulant covers directly over the first electronic component, and wherein the encapsulant covers the second electronic component through a layer of conductive material.

Abstract: A method is disclosed. The method includes receiving, by a server computer, a plurality of images associated with one or more service providers. The server computer then receives an inquiry request, and determines an image of the plurality of images. The image is selected in response to a composite score based on a scoring algorithm scoring each image in the plurality of images. The scoring algorithm comprises a conversion component and an uncertainty component. The server computer provides an inquiry response comprising the image to the end user device operated by the end user.

Abstract: A contamination detection and auto-cleaning equipment and a method using the same are provided. The contamination detection and auto-cleaning equipment includes a contamination detection device and an automatic cleaning device. The contamination detection device is configured for detecting a cleanliness of a sample container. The automatic cleaning device is configured for cleaning the sample container. The contamination detection device includes a light emitter, a detection-light receiver and a controller. The light emitter is configured for emitting an emission light, wherein the emission light becomes a detection light after traveling through the sample container. The detection-light receiver is configured for receiving the detection light to obtain a detection-light intensity. The controller is coupled to the light emitter and the detection-light receiver, and obtain the cleanliness of the sample container according to a variation of the detection-light intensity.

Abstract: An electronic device is provided. The electronic device includes a first scan transistor, a driving transistor, an electronic component and a first capacitive coupling component. The driving transistor is electrically connected to the first scan transistor. The electronic component is electrically connected to the driving transistor. The first terminal of the first capacitive coupling component is electrically connected to a control terminal of the driving transistor.

Abstract: An electronic device includes a battery, a battery gauge, and a processor. The battery is configured to supply power to the electronic device. The battery gauge is configured to gauge the battery to generate a plurality of remaining capacities a battery temperature, and a battery voltage of the battery. The processor is configured to sequentially read the plurality of remaining capacities. The processor determines whether a preset condition is met according to the battery temperature and the battery voltage in a case that a read remaining capacity is equal to a cut-off capacity and a read previous remaining capacity is greater than a preset capacity. The processor performs a capacity correction process in a case of determining that the preset condition is met. The capacity correction process includes using the read previous remaining capacity as a correction capacity and reporting the correction capacity to a system circuit.

Abstract: An optical system affixed to an electronic apparatus is provided, including a first optical module, a second optical module, and a third optical module. The first optical module is configured to adjust the moving direction of a first light from a first moving direction to a second moving direction, wherein the first moving direction is not parallel to the second moving direction. The second optical module is configured to receive the first light moving in the second moving direction. The first light reaches the third optical module via the first optical module and the second optical module in sequence. The third optical module includes a first photoelectric converter configured to transform the first light into a first image signal.

Abstract: Implementations of the disclosure provide systems and methods for motion compensation prediction. The method may include performing, by a video processor, a geometry partition on a video block of a video frame from a video to obtain a first partition and a second partition. The method may further include applying, by the video processor, a first motion prediction mode to the first partition and a second motion prediction mode to the second partition. At least one of the first motion prediction mode or the second motion prediction mode is an affine motion prediction mode.

Abstract: A method includes bonding a second package component to a first package component, bonding a third package component to the first package component, attaching a dummy die to the first package component, encapsulating the second package component, the third package component, and the dummy die in an encapsulant, and performing a planarization process to level a top surface of the second package component with a top surface of the encapsulant. After the planarization process, an upper portion of the encapsulant overlaps the dummy die. The dummy die is sawed-through to separate the dummy die into a first dummy die portion and a second dummy die portion. The upper portion of the encapsulant is also sawed through.

Abstract: The present disclosure provides an electronic device including a substrate, a semiconductor disposed on the substrate, and a conductive layer disposed on the semiconductor. The conductive layer has a first electrode and a second electrode, in which the first electrode is electrically connected to the semiconductor, and the second electrode surrounds the first electrode in a top view direction of the electronic device.

Abstract: Implementations of the disclosure provide video processing apparatuses and methods. The method receives, by a video processor, a video block of a video for in-loop filtering. The method then performs a wavelet-domain CNN filtering on video data of at least a part of the video block, by performing, by the video processor, a wavelet transform on the video data to obtain data in a wavelet domain comprising a plurality of wavelet subbands; filtering, by the video processor, the data in the wavelet domain by applying respective CNN models on the plurality of wavelet subbands, where the CNN models for the plurality of wavelet subbands are trained in the wavelet domain; and performing, by the video processor, an inverse wavelet transform on the filtered data to obtain reconstructed video data.

Abstract: A light-emitting device includes a semiconductor epitaxial structure that has a first surface and a second surface opposite to the first surface, and that includes a first semiconductor layer, an active layer, and a second semiconductor layer sequentially disposed in such order in a direction from the first surface to the second surface. The active layer includes well layers and barrier layers that are alternately stacked. The active layer has an upper surface that is adjacent to the second semiconductor layer, and a lower surface that is opposite to the upper surface. The first semiconductor layer is doped with an n-type dopant, which has a first concentration of 5E17/cm3 at a first point in the first semiconductor layer. The first point of the first semiconductor layer and the lower surface of the active layer have a first distance therebetween. The first distance ranges from 150 nm to 500 nm.

Abstract: Methods and devices are provided for decoding a video block in GPM. The method includes: partitioning the video block into first and second geometric partitions; receiving a first GPM with a motion vector refinement (GPM-MVR) enable flag for the first geometric partition and receiving a second GPM-MVR enable flag for the second geometric partition; receiving a joint template matching (TM) enable flag for the first and second geometric partition that jointly indicates whether a uni-directional motion of the first partition is refined by TM and 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 MV candidate list of the GPM; and generating a uni-directional MV for the first geometric partition and a uni-directional MV for the second geometric partition.

Abstract: Implementations of the disclosure provide video processing systems and methods. The video processing method may include receiving, by one or more processors, a video frame of a video for in-loop filtering. For a target pixel of the video frame, the video processing method may further include selecting, by the one or more processors, a bilateral filtering window to perform the in-loop filtering on the target pixel from a group of candidate filtering windows. The group of candidate filtering windows include a plurality of side filtering windows and a full filtering window. The video processing method may also include filtering, by the one or more processors, the target pixel of the video frame using the selected bilateral filtering window.

Abstract: An optical photographing lens assembly includes seven lens elements which are, in order from an object side to an image side: a first lens element, a second lens element, a third lens element, a fourth lens element, a fifth lens element, a sixth lens element and a seventh lens element. Each of the seven lens elements of the optical photographing lens assembly has an object-side surface facing toward the object side and an image-side surface facing toward the image side. The object-side surface of the first lens element is concave in a paraxial region thereof. The object-side surface of the first lens element is aspheric and has at least one critical point in an off-axis region thereof.

Abstract: Provided is a method for video decoding including: receiving a control variable enabling adaptive switch between motion vector refinement (MVR) offset sets; receiving an indication variable enabling adaptive switch between codeword tables that binarize offset magnitudes in the MVR offset sets under the coding level; partitioning the video block into a first and a second geometric partition; selecting an MVR offset set based on the control variable; receiving syntax elements to determine a first and second MVR offsets applied to the first and second geometric partitions from the selected MVR offset set; obtaining a first and second MVs from a candidate list for the first and the second geometric partition; calculating a first and second refined MVs based on the first and second MVs and the first and second MVR offsets; and obtaining prediction samples based on the first and second refined MVs.

Abstract: In particular embodiments, a computing system may capture a first image of a scene using a first camera of an artificial reality device. The system may capture a second image of the scene using a second camera and one or more optical elements of the artificial reality device. The second image may include an overlapping portion of multiple shifted copies of the scene. The system may generate an upsampled first image by applying a particular sampling technique to the first image. The system may generate a tiled image comprising a plurality of repeated second images by applying a tiling process to the second image. The system may generate an initial output image by processing the upsampled first image and the tiled image using a machine learning model. The system may generate a final output image by normalizing the initial output image using the upsampled first image.

Abstract: A method for determining a plant growth curve includes obtaining color images and depth images of a plant to be detected at different time points, performing alignment processing on each color image and each depth image to obtain an alignment image, detecting the color image through a pre-trained target detection model to obtain a target bounding box, calculating an area ratio of the target bounding box in the color image, determining a depth value of all pixel points in the target boundary frame according to the aligned image, performing denoising processing on each depth value to obtain a target depth value, generating a first growth curve of the plant to be detected according to the target depth values and corresponding time points, and generating a second growth curve of the plant to be detected according to the area ratios and the corresponding time points.