Abstract: A camera device for shooting at 360-degree angle and displaying images, and a control system are provided. The camera device includes a supporting platform, a supporting spindle, a supporting base, a rotating shooting bracket, and a video display device. The control system includes at least one wireless communication module configured to receive video data or control commands sent by an external control terminal, a storage module configured to store preset video data, and receive and store the video data transmitted from the wireless communication module, and a control module configured to be in communication connection with the wireless communication module, and the storage module. The control module includes an image processing unit and a display processing unit. The image processing unit obtains the video data stored in the storage module and performs analysis processing on the video data to obtain processed video data.

Abstract: Systems, methods, and non-transitory, machine-readable media to facilitate adaptive processing and content control are disclosed. Content composites may be created and configured according to a computational model that may include a hierarchical ordering of the content composites using a hierarchical data structure. The configured content composites may be presented with a graphical user interface of an endpoint device. Metrics of interactions with interface elements corresponding to the configured content composites may be determined using a processing device that monitors inputs. The computational model may be automatically trained using the metrics of interactions to create an adapted computational model. Adapted content composites may be created and configured according to the adapted computational model that may include a second hierarchical ordering using a second hierarchical data structure. The adapted content composites may be presented with the graphical user interface.

Abstract: Identifying a person committing a crime in video data captured by a security device. An information request message identifying the video data and a need for information about the video data is received. When the video data is determined suitable for sharing within a geographic network, an access control of the video data is set to allow a client device registered with the geographic network to display the video data. A display control value of the video data is set to direct display of a label with the video data to indicate the need for the information. A rating of usefulness of the information received from the client device is determined and a first value is added to an account associated with the client device based at least in part upon the rating.

Abstract: A system and method for moving and aligning tandem axle lock pins on a semi-trailer, having a viewer and a remote receiver that are placeable in communication with each other. The viewer is attachable to a trailer so that a camera on the viewer can be positioned such that the trailer slide rail and tandem axle slider frame of a trailer are within the field of vision. The remote receiver may be a smartphone which can access data from the camera so that the user can from a remote location, such as a cab of a tractor, determine the alignment and orientation of the trailer slide rail and the tandem axle slider frame.

Abstract: An example method of video processing includes determining, for a conversion between a current picture of a video and a bitstream of the video, a scaling ratio based on a first window in the current picture and a second window in a reference picture associated with the current picture; resampling the reference picture by using the determined scaling ratio; and performing the conversion based on the result of the resampling, wherein a dimension of the first window is W×H and a dimension of the second window is W?×H?, where W, H, W? and H? are integers, and wherein W, H, W? and H? satisfy a constraint.

Abstract: A geometric phase optical element and a three-dimensional display apparatus including the same are provided. The geometric phase optical element includes: a liquid crystal layer; a first electrode on a surface of the liquid crystal layer; and a second electrode on another surface of the liquid crystal layer, wherein, when no voltage is applied to the first and second electrodes, the liquid crystal layer is configured such that a phase difference according to an arrangement of the liquid crystal is ? and light transmitted through the liquid crystal layer is diffracted by a first deflection angle, and when a first voltage that causes the phase difference according to the arrangement of the liquid crystal to become ?/2 is applied to the first and second electrodes, the liquid crystal layer is configured such that the light transmitted through the liquid crystal layer is diffracted by a second deflection angle.

Abstract: A device comprising a circuitry configured to obtain a sequence of digital images from an image sensor; select a region of interest within a digital image of the sequence of digital images; perform motion compensation on the region of interest to obtain a motion compensated region of interest based on motion information obtained from the sequence of digital images and a predefined accumulated time interval; define a mask pattern based on the compensated region of interest; apply the mask pattern to an electronic light valve.

Abstract: An electronic device and one or more control methods thereof are provided. In one example, the electronic device may include a display device, one or more imaging devices, and a signal processing device. The display device may include a display panel and a non-display area at an edge of the display panel, the non-display area having one or more light-passing structures. Each of the one or more imaging devices may correspond to one of the one or more light-passing structures. Further, each of the one or more imaging devices may be disposed in an internal space of the electronic device. The signal processing device may be connected to each of the display device and the one or more imaging devices. The electronic device may increase an actual screen ratio of a rectangular image displayed on a user-oriented side of the electronic device.

Abstract: Systems and methods for three-dimensional imaging are disclosed. A three-dimensional imaging system may include a light source to emit a light pulse. The divergence of the light pulse may be configurable by the system. For example, the system may also include a receiving lens having a field of view and configured to receive a portion of the light pulse reflected or scattered by a scene. The system may configure the light source so that the divergence of the light pulse matches or approximates the field of view of the receiving lens.

Abstract: An image decoding device includes a prediction unit configured to generate a prediction signal included in a prediction block based on a motion vector. The prediction unit is configured to perform refinement processing of setting a search range based on a reference position specified by the motion vector, specifying a corrected reference position having the smallest predetermined cost from the search range, and correcting the motion vector based on the corrected reference position. When a block size of the prediction block is larger than a predetermined block size, the prediction unit is configured to divide the prediction block into sub-block groups and perform the refinement processing for each sub-block.

Abstract: A well log is scanned for one or more dimensions that describe one or more features of a well. Each dimension includes a plurality of values in a numerical format that represents each dimension. A missing value is detected in a first plurality of values of a first dimension of the well log. The first dimension of the well log is transformed, in response to the missing value, into a first image that visually depicts the first dimension including the first plurality of values and the missing value. Based on the first image and based on an image analysis algorithm a second image is created that visually depicts the first plurality of values and includes a found depiction visually depicting a found value in place of the missing value. The found depiction is converted, based on the second image, into a first value in the numerical format.

Abstract: Using locality sensitive hashing in federated machine learning. A server receives from clients locality sensitive hash (LSH) vectors. In one embodiment, the server groups the clients into clusters, based on the LSH vectors; the server selects a subset of the clients, by choosing at least one client from each of the clusters. In another embodiment, the server finds a subset of the clients, by minimize gradient divergence for the subset of the clients. The server receives from selected clients LSH vectors computed based on parameter vectors of updated models, and based on LSH vectors the server determines whether the updated models are sufficiently different from a model being trained; in response to determining that the updated models are sufficiently different from the model, the server requests the selected clients to send the parameter vectors to the server.

Abstract: A vehicular camera includes an imager printed circuit board and a lens having a plurality of optical elements. The lens is held in optical alignment with an imager at the imager printed circuit board via a dual cure one-part, filled adhesive that in its uncured state has an epoxy resin. The adhesive is both UV-curable and thermal-curable. A flexible electrical ribbon cable electrically connects circuitry of the imager printed circuit board with additional circuitry of the vehicular camera. Image data captured by the imager is provided to the additional circuitry of the vehicular camera via the flexible electrical ribbon cable. The additional circuitry includes at least a processor for processing image data captured by the imager and provided to the additional circuitry via the flexible electrical ribbon cable. The vehicular camera, when installed and used in a vehicle, captures image data for use by a vision system of the vehicle.

Abstract: Drone-based inventory management method and systems. One embodiment provides a drone-based inventory management system including one or more unmanned aerial vehicles (UAVs), and a central management system having an electronic processor, and a transceiver configured to communicate with the one or more UAVs. The electronic processor is configured to determine a discrepancy in inventory and select a UAV for verification. The electronic processor is also configured to determine whether weather permits UAV operation and operate the UAV in a pre-determined route when the weather permits UAV operation. The electronic processor is further configured to capture images using the UAV and determine new inventory based on captured images. The electronic processor is also configured to update inventory based on the new inventory.

Abstract: An example apparatus for tracking objects includes a controller to receive a depth map, a focus distance, and an image frame of an object to be tracked. The controller is to detect the object to be tracked in the image frame and generate an object position for the object in the image frame. The controller is to calculate a deflection angle for the object based on the depth map, the focus distance, and the object position. The controller is to further rotate an imaging sensor based on the deflection angle.

Abstract: Disclosed is an image data encoding/decoding method and apparatus. A method for decoding a 360-degree image comprises the steps of: receiving a bitstream obtained by encoding a 360-degree image; generating a prediction image by making reference to syntax information obtained from the received bitstream; combining the generated prediction image with a residual image obtained by dequantizing and inverse-transforming the bitstream, so as to obtain a decoded image; and reconstructing the decoded image into a 360-degree image according to a projection format.

Abstract: A light source unit, a light receiving unit that includes a distance image sensor in which a plurality of pixels each including a photoelectric conversion device generating electric charge corresponding to incident light and a plurality of electric charge accumulating units accumulating the electric charge and dividing and accumulating the electric charge among the electric charge accumulating units at a predetermined accumulation timing are arranged in a two-dimensional matrix pattern, a distance image processing unit that is configured to acquire a distance from a subject present in the space that is an imaging target, and a timing determining unit that is configured to determine the accumulation timing in the measurement time interval on the basis of an electric charge amount in each of the electric charge accumulating units in an inspection time interval in which the light pulse is not emitted at the accumulation timing are provided.

Abstract: Edge devices utilizing personalized machine learning and methods of operating the same are disclosed. An example edge device includes a model accessor to access a first machine learning model from a cloud service provider. A local data interface is to collect local user data. A model trainer is to train the first machine learning model to create a second machine learning model using the local user data. A local permissions data store is to store permissions indicating constraints on the local user data with respect to sharing outside of the edge device. A permissions enforcer is to apply permissions to the local user data to create a sub-set of the local user data to be shared outside of the edge device. A transmitter is to provide the sub-set of the local user data to a public data repository.

Abstract: Technologies for user-assisted machine learning includes a compute device configured to request user assistance to classify sensor data in response to a determination that a confidence score associated with the classification of the sensor data is below a threshold value and/or if the classification of the sensor data is unknown. In an illustrative embodiment, the compute device is configured to communicate with an activity monitor device, such as a smart pet collar, to determine activities of the subject (e.g., a pet) based on classification data received from the smart pet collar.

Abstract: Multipurpose systems can include networked devices configured to include microphones, motion sensors, video cameras, touchscreens, optical sensors, speakers, or other suitable devices. The networked devices can include networking capabilities that enable the networked device to communicate with target devices and other networked devices. A system of networked devices can identify a target location or a target device by analyzing audio signals received at microphones of the networked devices. For example, a plurality of networked devices can identify a particular networked device that is in closest proximity to a user by analyzing an audio intensity of an audio signal received at the plurality of networked devices. The identified networked device can serve as a master device that can control a state of target devices.