Abstract: Some embodiments of the present disclosure provide a server system associated with a media-providing service. The server system receives, from a first client device, video content created by the first client device. The server system receives, from the first client device, an indication that the video content is to be associated with a song provided by the media-providing service. The server system provides, to a second client device, the video content in combination with the song. The server system provides, to the second client device, concurrently with the video content and the song, visual display of metadata about the song, including a name of the song.

Abstract: Systems and methods are disclosed herein for displaying images of certain surroundings of an agricultural implement, for example one including a frame extending between opposing distal ends of a length transverse to a working direction of the agricultural implement. Individual image regions of the surroundings of the agricultural implement are captured using cameras arranged on the agricultural implement and directed toward a working area in the working direction, wherein a corresponding display is generated on a user interface. One or more traveling conditions (e.g., an edge of the working area and/or an edge of the frame, respectively corresponding to a first end and/or second end of the frame) may be automatically projected in the working direction, wherein respective indicia corresponding to the projected traveling conditions are superimposed on the generated display. The indicia may optionally be modified dynamically based on determined changes in a projected course of the working direction.

Abstract: Systems and methods related to dual-momentum gradient optimization with reduced memory requirements are described. An example method in a system comprising a gradient optimizer and a memory configured to store momentum values associated with a neural network model comprising L layers is described. The method includes retrieving from the memory a first set of momentum values and a second set of momentum values, corresponding to a layer of the neural network model, having a selected storage format. The method further includes converting the first set of momentum values to a third set of momentum values having a training format associated with the gradient optimizer and converting the second set of momentum values to a fourth set of momentum values having a training format associated with the gradient optimizer. The method further includes performing gradient optimization using the third set of momentum values and the fourth set of momentum values.

Abstract: An animated emoticon generation method, a computer-readable storage medium, and a computer device are provided. The method includes: displaying an emoticon input panel on a chat page; detecting whether a video shooting event is triggered in the emoticon input panel; acquiring video data in response to detecting the video shooting event; obtaining an edit operation for the video data; processing video frames in the video data according to the edit operation to synthesize an animated emoticon; and adding an emoticon thumbnail corresponding to the animated emoticon to the emoticon input panel, the emoticon thumbnail displaying the animated emoticon to be used as a message on the chat page based on a user selecting the emoticon thumbnail in the emoticon input panel.

Abstract: The present invention provides a measurement program selection assisting apparatus capable of visually confirming whether a selected measurement program is suitable for an object to be measured. One aspect of the present invention is a measurement program selection assisting apparatus comprising: a measurement program database storing a measurement program related to measurement of an object and superimposed display information corresponding to a three-dimensional shape of the object in association with each other; a display unit capable of displaying information defined in a virtual space superimposed on the real space; and a display control unit for acquiring the superimposed display information corresponding to a selected measurement program from the measurement program database and displaying the acquired superimposed display information in a mixed reality on the display unit.

Abstract: Data events of an event stream are processed in accordance with temporally valid machine learning models. A streaming node may receive data events via an event stream. Each data event may be associated with a timestamp. The streaming node may also utilize punctuation events that specify the temporal validity of available machine learning models. The streaming node performs a temporal join operation for each data event based on its timestamp and the temporal validity. If the data event's timestamp is less than or equal to the punctuation event's timestamp, the data event is provided to the temporally valid machine learning model for processing thereby. If the data event's timestamp is greater than the punctuation event's timestamp, the data event is held until a subsequent punctuation event specifying a later timestamp is received.

Abstract: A computer system, while displaying a view of a computer-generated environment, detects movement of a physical object, and in response: in accordance with a determination that a user is within a threshold distance of a first portion of the physical object and that the physical object meets preset criteria, the computer system changes an appearance of virtual content displayed at a position corresponding to a current location of the physical object's first portion, without changing an appearance of virtual content displayed at a position corresponding to the physical object's second portion; and in accordance with a determination that the user is within the threshold distance and that the physical object does not meet the preset criteria, the computer system changes an appearance of virtual content displayed at a position corresponding to a current location of the physical object's first portion.

Abstract: Examples of the present disclosure relate to a computing device for processing images captured in three-dimensional environments, for the generation of augmented reality scenes. The computing device is configured to obtain an augmented reality anchor, the anchor corresponding to a position and orientation in a real-world environment. The computing device is configured to receive image capture data via data communication from a remote user device. The image capture data comprises an image captured by the user device, the image representing the real-world environment as viewed by the user device. The computing device is configured to process the image capture data to determine spatial data which maps the anchor to the image. The spatial data is usable by the remote user device to insert a virtual object into the image, in accordance with the anchor, to generate an augmented reality scene at the remote user device.

Abstract: An image processing system includes a computing platform having a hardware processor and a system memory storing an image augmentation software code, a three-dimensional (3D) shapes library, and/or a 3D poses library. The image processing system also includes a two-dimensional (2D) pose estimation module communicatively coupled to the image augmentation software code. The hardware processor executes the image augmentation software code to provide an image to the 2D pose estimation module and to receive a 2D pose data generated by the 2D pose estimation module based on the image. The image augmentation software code identifies a 3D shape and/or a 3D pose corresponding to the image using an optimization algorithm applied to the 2D pose data and one or both of the 3D poses library and the 3D shapes library, and may output the 3D shape and/or 3D pose to render an augmented image on a display.

Abstract: The disclosure relates to a method for the situational transmission of surroundings data of a vehicle, comprising the steps: determining a driving situation of the vehicle; determining relevant surroundings data from recorded surroundings data based on the driving situation, wherein the relevant surroundings data are a subset of the recorded surroundings data that are relevant to the driving situation; and providing the relevant surroundings data to an external data processing device.

Abstract: There is a need to accurately and dynamically evaluate an individual's risk associated with the transmission or contraction of a disease. This need can be addressed, for example, by generation of a real-time or near real-time predicted disease score for an associated user. In one example, a method includes receiving a video stream data object depicting a visual representation of a target user; processing the video stream data object to generate a protective covering indication with respect to the target user; processing the video stream data object to generate a spatial proximity determination score with respect to the target user; processing the protective covering indication and spatial proximity determination score to generate a predicted disease score associated with the target user; and providing an augmented reality video stream data object configured to depict the visual representation of the target user and the predicted disease score.

Abstract: The present disclosure relates to a method for filtering selectively obstacle to be an obstacle to machine learning according to a learning purpose and a system thereof. A system for filtering obstacle data in machine learning of medical images may include an obstacle data definition unit configured to receive definitions of obstacle data according to a machine learning purpose; a filter generation unit configured to generate a filter for filtering the obstacle data; and a filtering unit configured to remove obstacle data in machine learning using the generated filter.

Abstract: The disclosure describes a distributed, pluggable architecture for an artificial reality (AR) system that enables concurrent execution and collaborative scene rendering for multiple artificial reality applications. For example, an AR system includes an image capture device configured to capture image data representative of a physical environment. The AR system also includes a head-mounted display (HMD) configured to output artificial reality content. The AR system further includes a plurality of concurrently executing artificial reality client applications. The AR system also includes a concurrent application engine configured to control rendering the artificial reality content as a common scene that include one or more objects from each of the plurality of artificial reality applications.

Abstract: Various implementations disclosed herein include devices, systems, and methods that generate floorplans and measurements using a three-dimensional (3D) representation of a physical environment generated based on sensor data.

Abstract: Systems and methods for receiving audio data; identifying one or more graphical interface elements that correspond to the audio data; generating a display of the identified one or more graphical interface elements, wherein a first portion of the one or more graphical interface elements is persistently displayed, and wherein a second portion of the one or more graphical interface elements is temporarily displayed for a predetermined period of time together with the first portion of the one or more graphical interface elements; and at expiry of the predetermined period of time, ceasing display of the second portion while maintaining display of the first portion.

Abstract: Systems and methods for generating and facilitating access to a personalized augmented rendering of a user to be presented in an augmented reality environment are discussed herein. The augmented rendering of a user may be personalized by the user to comprise a desired representation of the user in an augmented reality environment. When a second user is detected within the field of view of a first user, the second user may be identified and virtual content (e.g., an augmented rendering) for the second user may be obtained. The virtual content obtained may differ based on one or more subscriptions for the first user and/or permissions associated with the virtual content of the second user. The virtual content obtained may be rendered and appear superimposed over or in conjunction with a view of the second in the augmented reality environment.

Abstract: Systems and methods for learning and recognizing features of an image are provided. A point detector identifies points in an image where there are two-dimensional changes. A geometric feature evaluator overlays at least one mesh on the image and analyzes geometric features on the at least one mesh. An internal calibrator transforms data from the point detector and the geometric feature evaluator into a three-dimensional point figure of the image, and a depth evaluator determines a final shape of the image. A three-dimensional object model of the image is constructed. The image could be a human face or body. Exemplary systems and methods can construct and learn features of a human face based on a partial view where part of the face is covered. Systems and methods can unlock a mobile device based on recognition of the features of the user's face.

Abstract: Embodiments of the system, as described herein leverage artificial intelligence, machine-learning, and/or other complex, specific-use computer systems to provide a novel approach for identifying patterns in input data and determine and implement necessary changes to a regulated ML model within the bounds of a regulatory control structure. The system utilizes a collection of machine learning models, either individually or clustered, to process incoming data to determine if specific data should be flagged as irregular or part of the formation of an emerging pattern. The system may intelligently analyze such patterns to determine any regulatory implications that may arise from acting on or adapting to the perceived patterns.

Abstract: A system and method enabling location-based activation of applications.

Abstract: The present invention relates to a robot teaching system based on image segmentation and surface electromyography and robot teaching method thereof, comprising a RGB-D camera, a surface electromyography sensor, a robot and a computer, wherein the RGB-D camera collects video information of robot teaching scenes and sends to the computer; the surface electromyography sensor acquires surface electromyography signals and inertial acceleration signals of the robot teacher, and sends to the computer; the computer recognizes a articulated arm and a human joint, detects a contact position between the articulated arm and the human joint, and further calculates strength and direction of forces rendered from a human contact position after the human joint contacts the articulated arm, and sends a signal controlling the contacted articulated arm to move along with such a strength and direction of forces and robot teaching is done.