Systems, methods, and computer program product for displaying virtual content with a wearable display device that in response to identifying a first change from a first field of view to a second field of view, determines, based at least in part upon attribute(s) or criterion (criteria), first virtual content element(s) and second virtual content element(s) from the set that match to first surface(s) within the first field of view, determines second surface(s) within the second field of view based at least in part upon attribute(s) or criterion (criteria), the second surface(s) matching to the second virtual content element(s), moves the first virtual content element(s) from the first surface(s) to the second surface(s), and maintains the second virtual content element(s) with respect to the first surface(s) while the first field of view has been changed into the second field of view.

A method, system, and computer-readable media of generating a display on a device, including combining content from a plurality of sources into a display, the content from each of the plurality of sources being presented as a layer of the display, and further, each layer of the display being of substantially the same dimensions, detecting one or more objects in each layer of the generated display, and for one or more of the detected objects determining an object type or classification, determining if the object is overlapping or obscuring an object in a different layer of the generated display, and determining if the object will appear to a viewer as if it will overlap or obscure an object in a different layer of the generated display as a result of the motion, orientation, or gaze of the viewer.

An information processing apparatus includes an acquisition unit, a determination unit, and an output unit. The acquisition unit acquires history information of image processing using a plurality of medical images. The determination unit determines, using the acquired history information, whether each of a plurality of candidate images that are candidates of a second medical image used for image processing together with a first medical image selected by an operator has already been processed. The output unit outputs a notification in accordance with the result of the determination.

A management server receives a request to view video content; access a stream of video content corresponding to the request; access and store, in one or more databases, metadata associated with the video content, wherein the metadata includes a plurality of detections and was generated by the video gateway device based on an analysis of the video content and previously uploaded to a remote computing device; generating and causing display of a user interface that includes: the stream of the video content, a seek bar configured to be manipulated by a user so that the user can navigate through the video content, and the metadata overlaid on the seek bar such that the plurality of detections are overlaid at locations on the seek bar corresponding to when the plurality of detections were detected.

A system for vector extraction comprising a vector extraction engine stored and operating on a network-connected computing device that loads raster images from a database stored and operating on a network-connected computing device, identifies features in the raster images, and computes a vector based on the features, and methods for feature and vector extraction.

An information processing apparatus according to an embodiment of the present technology includes a generation unit. The generation unit generates, with respect to a target object in an image for learning on the basis of input information regarding an outer shape of the target object, which is input from a user, a three-dimensional region surrounding the target object as a label. Accordingly, the annotation accuracy can be improved.

The present invention provides an image processing apparatus (100) including an image acquisition unit (101) that acquires a query image, based on an input keyword, a skeleton structure detection unit (102) that detects a two-dimensional skeleton structure of a person included in the query image, a feature value computation unit (103) that computes a feature value of the detected two-dimensional skeleton structure, and a search unit (105) that searches, based on a degree of similarity of the computed feature value, for an analysis target image including a person in a state similar to a state of a person included in the query image from the analysis target image.

Aspects of the present disclosure involve a system for presenting augmented reality (AR) items. The system performs operations including receiving a video that includes a depiction of a real-world environment and generating a 3D model of the real-world environment based on the video. The operations include determining, based on the 3D model of the real-world environment, that an AR item has been placed in the video at a particular 3D position and identifying a portion of the 3D model corresponding to the real-world environment currently being displayed on a screen. The operations include determining that the 3D position of the AR item is excluded from the portion of the 3D model currently being displayed on the screen and in response, displaying an indicator that identifies the 3D position of the AR item in the 3D model relative to the portion of the 3D model currently being displayed on a screen.

Systems and methods describe dwell time recording of digital image review sessions. The system displays, at a user interface (UI), a portion of an image on at least one monitor, where the image is segmented into a multitude of patches. The system then receives UI events involving a change in the currently displayed patches. For each of the UI events, the system records one or more dwell times representing durations for which the current patches of the image were displayed. The system also receives a report associated with the image review session, and processes the text of the report to determine a classification label for the image. Finally, the system trains a machine learning model, using at least the recorded dwell times and the classification label for the image.

Methods for submitting an insurance claim for damaged motor vehicle glass are provided that can include: receiving a plurality of images associated with motor vehicle glass at processing circuitry; performing image processing operations on each of the plurality of images to determine one or more of glass damage, glass type, and/or claim fraud; and submitting an insurance claim for motor vehicle glass repair or replace based on the glass type or damage, or flagging the claim as fraud.

The present disclosure also provides a non-transitory computer readable storing instruction that when executed by a processor, causes a computer system to perform the following method. The method can include: prompting a user for initial claim submission information; prompting the user for a plurality of images of portions of motor vehicle glass; performing image processing operations on each of the plurality of images to train or improve the computer system, determine one or more of glass damage, glass type, and/or claim fraud; and one of submit or reject an insurance claim for glass repair.

Glass vendors may be granted access to the systems and methods of the present disclosure and prompted to complete replacements as well.