Abstract: An image decoding device (31) includes a transform coefficient decoding unit (311) configured to decode a transform coefficient for a transform tree included in a coding unit. In the transform tree, the transform coefficient decoding unit splits a transform unit corresponding to luminance and then decodes the transform coefficient related to the luminance, and does not split the transform unit corresponding to chrominance and decodes the transform coefficient related to the chrominance.

Abstract: A method of video coding at a video coding device includes performing a deformable convolution through a deformable convolutional deep neural network (DNN) to generate one or more first feature maps based on a set of one or more previously reconstructed reference frames, generating a predicted frame based on the one or more first feature maps, and reconstructing a current frame based on the predicted frame. In an embodiment, a set of one or more second feature maps corresponding to the one or more previously reconstructed reference frames can be generated based on a feature extraction DNN. One or more offset maps corresponding to the one or more second feature maps can be generated, respectively, using an offset generation DNN.

Abstract: Devices, methods, and non-transitory program storage devices are disclosed to provide enhanced images in multi-camera systems, e.g., by using information from images captured by cameras with different properties in terms of optics and/or sensors. In one embodiment, the techniques comprise: obtaining a first image from a first image capture device, wherein the first image has a first field of view (FOV) and a first set of quality characteristics; obtaining a second image from a second image capture device, wherein the second image has a second FOV and a second set of quality characteristics, and wherein the second FOV partially overlaps the first FOV; obtaining a neural network that produces a modified second image having a modified second set of quality characteristics determined by the neural network attempting to match the first set of quality characteristics; and generating an output image based, at least in part, on the modified second image.

Abstract: A three-dimensional viewing includes a pair of digital image sensors in communication with a pair of digital displays and controlled by a pair of processors to render three-dimensional images of samples on the displays.

Abstract: A vehicular display system includes an electronic control unit (ECU) and a plurality of cameras disposed at the vehicle. The cameras capture image data and provide captured image data to the ECU. The system includes a video display screen and a video mirror display screen that are operable to display video images derived from video images provided by the ECU. When the vehicle is traveling forward at a speed below a threshold speed, the ECU generates rearward view video images derived from image data captured by a rearward viewing camera and provides the rearward view video images to the video display screen. When the vehicle is traveling forward at a speed at or above the threshold speed, the ECU generates rearward view video images derived from image data captured by a rearward viewing camera and provides the rearward view video images to the video mirror display screen.

Abstract: The technology is directed towards image compression and decompression, including for 3D images. A sender device obtains lower resolution sub-images of an original image, captured from different angles. The sender device uses different neural network candidate level data and groups of candidate sub-images to determine selected neural network level data and sub-images that when combined, reconstruct the original image that satisfies a function of quality loss data, for sending to a receiver device. The receiver device receives the neural network level data, the group of sub-images and the reconstruction data, and reconstructs a three-dimensional representation of the original image using the neural network level and the group of sub-images arranged based on the reconstruction data.

Abstract: An inspection apparatus includes a specimen stage, one or more imaging devices and a set of lights, all controllable by a control system. By translating or rotating the one or more imaging devices or specimen stage, the inspection apparatus can capture a first image of the specimen that includes a first imaging artifact to a first side of a reference point and then capture a second image of the specimen that includes a second imaging artifact to a second side of the reference point. The first and second imaging artifacts can be cropped from the first image and the second image respectively, and the first image and the second image can be digitally stitched together to generate a composite image of the specimen that lacks the first and second imaging artifacts.

Abstract: There is provide a device including: a first storage unit configured to store, when an object moves between separate image capturing areas which are captured by a plurality of surveillance cameras, a plurality of movement histories of the object between image data respectively captured by the surveillance cameras; an identification unit configured to identify, among the plurality of surveillance cameras, one surveillance camera that has captured a target object to track, and an image capturing time, according to an operation of an operator; and an estimation unit configured to estimate at least one other surveillance camera that is different from the one surveillance camera and that captures the target object, among the plurality of surveillance cameras, and an estimated time when the other surveillance camera captures the target object, based on the movement history and an identification result obtained by the identification unit.

Abstract: The present disclosure relates to systems and methods for object recognition. The system may obtain an image and a model. The image may include a search region in which the object recognition process is performed. In the objection recognition process, for each of one or more sub-regions of the search region, the system may determine a match metric indicating a similarity between the model and the sub-region of the search region. Further, the system may determine an instance of the model among the one or more sub-regions of the search region based on the match metrics.

Abstract: An example device for processing point cloud data includes a memory configured to store the point cloud data and one or more processors implemented in circuitry and coupled to the memory. The one or more processors are configured to count a number of edges of a cube of point cloud data comprising a vertex. The one or more processors are configured to set a variable based on a total of the counting. The one or more processors are also configured to process the point cloud data based on the variable.

Abstract: A pipeline inspection system may include a cable that may be configured to be directed into a conduit. The pipeline inspection system may further include a camera disposed on a distal end of the cable and operable to capture an image. The pipeline inspection system may further include a monitor including a display configured to display an image. The pipeline inspection system may further include an electronic processor that may be configured to receive a user input indicating a characteristic of the conduit. The electronic processor may be further configured to determine an image setting of the display based on the characteristic of the conduit. The electronic processor may be further configured to control the monitor to display the image on the display according to the image setting.

Abstract: The present teaching relates to method, system, medium, and implementation for sensor protection. It is determined whether a cleaning operation needs to be applied to a portion of a sensor assembly deployed on a vehicle and hosting a sensor therein to acquire information of a surrounding through the portion to facilitate autonomous driving. If the cleaning operation is to be applied, at least one type of cleaning is selected to be carried out by one or more devices mounted on the sensor assembly with respect to the portion. For each of the devices, needed control signal is generated for activating the device to perform a cleaning task the device is configured for and sent to the device to clean the certain portion of the sensor assembly in order to prevent degradation in the information acquired by the sensor through the portion.

Abstract: A kit for facilitating the connection of a forward-facing video camera to an off-road vehicle, including a connection plate, wherein the connection plate further includes a first generally flat member for connecting to a vehicle, a second generally flat member oriented generally parallel with the first generally flat member, and a third generally flat member extending between and connecting the first and second generally flat members. A pair of spaced elongated apertures are formed through the first generally flat member and an aperture is formed through the second generally flat member. The kit further incudes a camera connector for operationally connecting to the second generally flat member, a plurality of threaded connecting members, a plurality of nuts, and a plurality of washers. At least some of the apertures are positioned to match preexisting bolt holes in the steering assembly of an off-road vehicle.

Abstract: A non-transitory computer readable recording medium has an estimation model according to one aspect of the present invention recorded thereon, and the estimation model is included in a program to be executed by a computer and outputs output data estimated based on input data received. In response to receiving, as the input data, a change over time in an intensity of energy emitted from a sealing part of an object subjected to a sealing process through bonding, the estimation model estimates at least one of whether sealing of the object is good or whether the sealing of the object is defective and outputs an estimation result as the output data, the change over time being calculated based on an intensity of energy emitted at each of a first time point and a second time point that is later than the first time point.

Abstract: The present invention relates to a method of reading out information from a data carrier and to a data carrier utilizing the concept of structured-illumination microscopy or saturated structured-illumination microscopy.

Abstract: Embodiments of work stations for use in a medical dose preparation management system are disclosed. A work station may include a camera stand. The camera stand may include a housing enclosing a camera and one or more light sources therein. As such, the camera and light sources may be directed at a medical dose preparation staging region to capture medical dose preparation images of the medical dose preparation staging region. The camera stand may include an adjustable support positionable in a plurality of positions to dispose the camera and light source relative to the medical dose preparation staging region. The work stations may facilitate improved image quality and record work flows carried out at the work station for preparation verification.

Abstract: In a classifier whose classification accuracy is maintained without frequently collecting labeled learning data, a learning unit learns a classification criterion of a classifier at each time point in the past until the present and learns a time series change of the classification criterion by using data for learning to which a label is given and that is collected until the present. A classifier creating unit predicts a classification criterion of a future classifier and creates a classifier that outputs a label representing an attribute of input data by using the learned classification criterion and time series change.

Abstract: The present teaching relates to method, system, medium, and implementation for sensor protection. It is determined whether a cleaning operation needs to be applied to a portion of a sensor assembly deployed on a vehicle and hosting a sensor therein to acquire information of a surrounding through the portion to facilitate autonomous driving. If the cleaning operation is to be applied, at least one type of cleaning is selected to be carried out by one or more devices mounted on the sensor assembly with respect to the portion. For each of the devices, needed control signal is generated for activating the device to perform a cleaning task the device is configured for and sent to the device to clean the certain portion of the sensor assembly in order to prevent degradation in the information acquired by the sensor through the portion.

Abstract: A method, computer program, and computer system is provided for decoding point cloud data. Data corresponding to a point cloud is received. A number of contexts associated with the received data is reduced based on occupancy data corresponding to one or more parent nodes and one or more child nodes within the received data. The data corresponding to the point cloud is decoded based on the reduced number of contexts.

Abstract: The present disclosure generally relates to vehicle remote parking assistance, and, more specifically, systems and methods for determining a distance between a vehicle and a mobile device during a remote parking procedure. In particular, the systems and methods include selecting a camera lens or focal length for use with a first method of determining a distance between a vehicle and a mobile device based on an image of the vehicle and a digital model of the vehicle.