Improved systems and devices for medical imaging distribution are provided. A medical imaging order may be received from a medical facility that includes medical imaging. A configuration may be selected and applied based on a body site and an urgency field associated with the order that defines queueing rules for the medical imaging order. Utilization factors for queues associated with radiologists may also be determined. The configuration and the utilization factors may be used to determine a subset of queues associated with a subset of radiologists. The subset of queues may be prioritized based on certain requirements, such as how many medical imaging reports a particular radiologist is required to review, how many medical imaging reports are required to be allocated to a particular radiologist, and the like. The highest prioritized queue may be selected and the medical imaging order may be transmitted to the radiologist associated with that queue.

A picture selection method of projection touch for a projection touch system is provided. The projection touch system includes an image projection module, a sensing module, an image recognition module including at least one camera module and a processing unit. The picture selection method includes: the sensing module sensing and transferring a first projection coordinate on the target picture at a first time point of a sensing action; the sensing module sensing and transferring a second projection coordinate on the target picture at a second time point of the sensing action; the processing unit selecting at least one to-be-selected picture in the target picture based on the first and second projection coordinates and generating a set of selected image data; and the processing unit controlling the selected image data projected by the image projection module to move to a designated position according to a movement instruction of the user.

At a device of a sender, a screen capture image is captured from a first portion of data presented on the device by a data source. Historical messaging data is analyzed to compute a set of topics in which the sender has participated. Using a topic from the set of topics as a context, a second portion of the data presented on the device by the data source is searched to extract an additional information from the second portion, the additional information corresponding to the context. the additional information is associated with the screen capture image. The screen capture image and the additional information are caused to be transmitted in a messaging channel.

The disclosure relates to an artificial intelligence (AI) system using a machine learning algorithm such as deep learning and the like, and an application thereof. In particular, there is provided a control method for an electronic apparatus for searching for an image, the method comprising displaying an image comprising at least one object, detecting a user input for selecting an object, recognizing an object displayed at a point at which the user input is detected and acquiring information regarding the recognized object by using a recognition model trained to acquire information regarding an object, displaying a list including the information regarding the object, and based on one piece of information being selected from the information regarding the object included in the list, providing a related image by searching for the related image based on the selected information.

The techniques disclosed herein improve the efficiency of a system by providing intelligent agents for managing data associated with objects that are displayed within mixed-reality and virtual-reality collaboration environments. Individual agents are configured to collect, analyze, and store data associated with individual objects in a shared view. The agents can identify real-world objects and virtual objects discussed in a meeting, collect information about each object and store the collected information in an associated database for access across multiple collaboration environments or communication sessions. The data can be shared between different communication sessions without requiring users to manually store and present a collection of content for each object. The intelligent agents and their associated databases can also persist through different communication sessions to enhance user engagement and improve productivity.

A method and system for providing a data analysis in the form of a customized geographic visualization on a graphical user interface (GUI) on a remote client computing device using only a web browser on the remote client device. The system receives a user's selected data analysis to be performed by the system for display on the remote client device. The system verifies the data access permissions of the user to render a data analysis solution customized to that particular user, and automatically prevents that user from gaining access to data analysis solutions to which that user is prohibited. The system is configured to respond to the user's data analysis request, perform the necessary computations on the server side on the fly, and send a dataset interpretable by the client device's web browser for display on the client device or on a device associated with the client device.

The present application relates to the field of data processing, and provides a method for deploying a face sample library, and a method and an apparatus for business processing based on face recognition. The method for deploying a face sample library, comprises: obtaining historical business information of users corresponding to face samples in a password face sample library under a condition that a number of face samples in the password face sample library is greater than or equal to a preset sample number threshold, wherein confidential business passwords of the users corresponding to the face samples in the same password face sample library are the same; dividing the password face sample library to obtain M levels of face sample sub-libraries according to the historical business information, where M is a positive integer. Use of the technical solution of the present application improves the accuracy of business processing using face recognition.

This disclosure discloses various computing technologies that enable a user to operate a browser to browse a web page that hosts a set of images and an operator of the web page to granularly track how the user is operating the browser with respect to the set of images based on various contextual information depicted in the set of images. Note that this disclosure is not limited to browsers and can be applied to other types of software applications, such as domain dedicated applications, such as e-commerce applications, photo gallery applications, encyclopedia applications, inventory applications, videogame applications, educational applications, social media applications, video streaming applications, or others, or others.

Augmented reality, computer vision, and digital ticketing system techniques are described that employ a location determination system. In one example, the location determination system is configured to receiving at least one digital image as part of a live camera feed, identify an object included in the at least one digital image using object recognition, determine a location of the object in relation to a digital map of a physical environment, generate augmented reality digital content indicating the determined location in relation to the digital map, and render the augmented reality digital content as part of the live camera feed for display by a display device.

The present invention relates to a method for processing a plurality of candidate annotations of a given instance of an image, each candidate annotation being defined as a closed shape matching the instance, characterized in that the method comprises performing, by a processing unit (21) of a server (2), steps of: (a) segregating said candidate annotations into a set of separate groups of at least overlapping candidate annotations; (b) selecting a subset of said groups as a function of the number of candidate annotations in each group; (c) building a final annotation of the given instance of said image as a combination of regions of the candidate annotations of said selected groups where at least a second predetermined number of the candidate annotations of said selected groups overlap.