Abstract: A device including a sensor of a light signal. The sensor includes a first level stacked on a second level. Each level including comprises an array of pixels, each including at least one photodetector, each photodetector of the first level being stacked on a photodetector of the second level. Each level is associated with a frequency, the frequency of the second level being equal to k times the frequency of the first level. A circuit is configured to calculate a distance for each pixel and a depth map of a scene.

Abstract: A method for monitoring a stereo vision system of an agricultural vehicle comprising: receiving a communication signal relating to a parameter of the agricultural vehicle; acquiring, based on the state signal, an operational image of an agricultural operation of the agricultural vehicle; generating a disparity image from the operational image; determining a disparity of the disparity image; and displaying a disparity indicator relating to the disparity of the disparity image to an operator of the agricultural vehicle.

Abstract: Disclosed herein are system, method, and computer program product embodiments for detecting a change in a drivable area. For example, the method includes determining a ground height associated with a cell of a tile map based on sensor data from a sensor of a vehicle and updating a base map based on a determination that there is a change in a drivable area of the vehicle based on at least the ground height.

Abstract: Systems, devices, and methods for calibration of image capture devices at vehicles are described. A calibration polygon is determined based on key points in image data. The calibration polygon can be regularly or continuously calibrated in an ongoing matter based on additional key points in later captured image data. The calibration polygon can be monitored continuously or periodically, to determine when recalibration is required. Calibration for road-facing image capture devices and cabin-facing capture devices is described.

Abstract: A system for refining an item identification model detects a triggering event at a platform. The system captures images of the item. The system extracts a set of features from at least one of the images. The system identifies the item based on the set of features. The system receives an indication that the item is not identified correctly. The system receives an identifier of the item. The system identifies the item based on the identifier of the item. The system feeds the identifier of the item and the images to the item identification model. The system retrains the item identification model to learn to associate the item to the images. The system updates the set of features based on the determined association between the item and the images.

Abstract: A system for inspecting an aircraft at a first location, includes an imaging device configured to acquire one or more images of one of or more surfaces of the aircraft at the first location. A control unit is in communication with the imaging device. The control unit is configured to receive the one or more images. A user interface is in communication with the control unit. The user interface is at a second location that differs from the first location. The user interface includes a display. The control unit is configured to show the one or more images on the display. As such, the inspection is performed at the first location, such as by an individual using the display.

Abstract: In one example, a method is disclosed. The method includes, for each meter hash key of multiple meter hash keys generated from meter signatures in aggregated meter data: identifying a set of reference hash keys that match the meter hash key, and storing ones of the set of reference hash keys in respective data structures corresponding to media assets represented by the ones of the set of reference hash keys, where a first one of the data structures includes a sequence of reference hash keys that matches a corresponding sequence of meter hash keys. The method further includes: determining that the sequences of hash keys satisfy a validation criteria, and determining that the first one of the sequence of reference hash keys corresponds to a valid hash key match based on the determination that the sequences of hash keys satisfy the validation criteria.

Abstract: A light-emitting array includes a light-emitting part having plural light-emitting block, a selection part that operates with a reference potential supplied from a reference part provided on an outside as a reference and selects the light-emitting block to be made to emit light, and a disconnection part that disconnects connection of the selection part and the reference part in a period during which a light emission current caused by low-side drive is flowing in the light-emitting block.

Abstract: According to one aspect, a method includes positioning a lidar on a platform, measuring at least a first data point using the lidar, measuring at least a second data point using the lidar, processing the at least first data point and the at least second data point to identify a first estimated location of the vertex, and determining whether the first estimated location of the vertex meets the specification, wherein when it is determined that the first estimated location of the vertex meets at least one specification associated with the lidar, the lidar is verified. The platform rotates about a first axis, wherein when the platform rotates about the first axis, the lidar rotates about the first axis. The data points measured with respect to a target, the target having at least a first edge, a second edge, and a vertex at which the first edge meets the second edge.

Abstract: A computer-implemented method of using video program viewer interaction data to calculate viewing activity, including second-by-second viewing metrics, associated with a video asset. The calculated metrics provide detailed information on customer viewing behavior which can be used to drive business decisions for service providers, advertisers and content producers.

Abstract: Systems and methods are configured to identify replacement content within various types of media and to facilitate the use of the identified replacement content in the generation of composited content. The generation of composited content optionally includes Chroma key processes. The content may include video and or multi-dimensional virtual environments. For example, loops of replacement content may be identified within video or time variant virtual environments. These capabilities are optionally facilitated by various artificial intelligence systems, e.g., trained neural networks.

Abstract: Some examples of the disclosure are directed to systems and methods for displaying supplemental content for two-dimensional content that is being played back in a three-dimensional environment at an electronic device. In some examples, while a content item is displayed in a virtual playback user interface in a three-dimensional environment, the electronic device displays a three-dimensional representation corresponding to the content item in the three-dimensional environment. In some examples, the three-dimensional representation includes a representation of a venue of the event and/or representations of participants in the event. In some examples, portions of the venue and/or a subset of the participants in the event that are not currently displayed/visible in the camera view of the broadcast/stream of the content item are included in the three-dimensional representation.

Abstract: A method of preprocessing incoming video data of at least one region of interest can include receiving the incoming video and preprocessing the incoming video data, by a computer processor, according to preprocessing parameters, wherein the preprocessing includes formatting the incoming video data to create first video data of a first region of interest. The method can further include providing the first video data to a transformer model along with a prompt requesting the transformer to describe the first video data, and describing, by the transformer model, the first video data to create at least one description of the first video data.

Abstract: An electronic device is provided. The electronic device includes a display, a communication interface configured to perform communication with a plurality of source devices, and one or more processors configured to control the display to display an image signal received from each of the plurality of source devices, according to a predetermined signal received from an input device, control the communication interface so that the communication interface that transmits a control signal received from the input device to a first source device from among the plurality of source devices transmits the control signal to a second source device, based on the control signal being received from the input device according to a user input regarding the input device, transmit the control signal to the second source device, and based on an image signal reflecting the user input being received, control the display to display the received image signal.

Abstract: An apparatus for providing temperature information includes a receiver configured to receive a first image and a second image of a same scene, the first image being captured by a visible light camera and the second image being captured by an infrared camera, an image editing device configured to set a reference area for an object selected by a user based on pixel values in the second image and generate an edited image with the reference area displayed in the first image or the second image, and a transmitter configured to transmit the edited image.

Abstract: In one aspect, an example method includes (i) receiving, from a content-distribution system, video comprising a watermark; (ii) extracting the watermark from the video; (iii) based on the extracted watermark, determining a content-creation attribute of the video that indicates a process by which the video was created, wherein the determining comprises using the watermark to select the content-creation attribute from among a set of two or more content-creation attributes comprising organically-generated video and synthetically-generated video; and (iv) in response to determining the content-creation attribute of the video, causing a content-presentation device to perform an action.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for segmenting digital videos into topic chapters. In particular, in some embodiments, the disclosed systems generate, utilizing a text encoder, a text representation for a transcript sentence of a video transcript. In addition, in some embodiments, the disclosed systems generate, utilizing a frame encoder, a set of frame representations for a set of video frames associated with the transcript sentence. Moreover, in some embodiments, the disclosed systems generate, utilizing a cross-modal attention model, a text-aware visual representation from the text representation and the set of frame representations. Furthermore, in some embodiments, the disclosed systems determine a topic-boundary label for the transcript sentence from the text representation and the text-aware visual representation.

Abstract: A hand-held device that includes sensor components that enable the detection and measurement of surface features such as roughness or texture. Motion data (e.g., velocity and trajectory) may also be captured. The hand-held device may also include components for emulating surface features. The hand-held device may also recreate, cancel, or alter curves or roughness on virtual or real surfaces, and recreate or cancel curves or roughness on real surfaces. A hand-held device may include the sensor components, the emulation components, or both. The hand-held device may, for example, be used as an accessory in an extended reality (XR) system, or may be a standalone device.

Abstract: An electronic apparatus includes a communicator configured to receive data corresponding to content, a memory and at least one processor, and the at least one processor is configured to, based on a chatting service being present that is related to the content based on the received data, control to output an image including text information related to the content and a highlighted time point identified based on at least one of an image corresponding to the content and an audio corresponding to the content.

Abstract: A method for calibrating cameras and an inertial measurement unit (IMU) includes: obtaining image sequences acquired by the cameras; matching feature points of different images in the image sequences, to obtain matched feature points; selecting target feature points from the matched feature points; converting the target feature points into three-dimensional points, and determining poses of the cameras based on the three-dimensional points and pixel points of the images in the image sequences that correspond to the three-dimensional points; and optimizing parameters between an IMU and the cameras according to the poses of the cameras and a pose of the IMU.