An electronic apparatus connected to an image capture apparatus receives an image capture instruction for requesting the image capture apparatus to perform image capture processing, in response to a user operation. If the image capture instruction is received, the electronic apparatus performs control to display a first image recorded by the image capture apparatus performing the image capture processing according to a capture request based on the image capture instruction from the electronic apparatus on a screen without a second image recorded by the image capture apparatus automatically performing the image capture processing according to satisfying a predetermined condition for automatic capturing. If the image capture instruction is not received, the electronic apparatus performs control to display both the first image and the second image on the screen.

An editing device acquires a first image in which an occupant of a vehicle has been imaged in association with a time point in a time series and a second image in which scenery around the vehicle has been imaged in association with a time point in a time series, acquires first index information indicating feelings of the occupant when the first image has been captured on the basis of the first image, and extracts the first image and the second image from first images of the time series and second images of the time series on the basis of the first index information and the time point associated with the first image based on the first index information to generate a library including the extracted images.

A system for selecting an image to accompany text from a user in connection with a social media post. The system includes receiving text from the user; identifying one or more search terms based on the text; identifying candidate images from images in one or more image databases using the search terms, where the candidate images comprise a sponsored image; presenting one or more candidate images to the user, where the sponsored image is presented preferentially compared to other candidate images; receiving from the user a selected image from the one or more candidate images; generating the social media post comprising the selected image and the user-submitted text; and transmitting the social media post for display.

A system for selecting an image to accompany text from a user in connection with a social media post. The system includes receiving text from the user; identifying one or more search terms based on the text; identifying candidate images from images in one or more image databases using the search terms, where the candidate images comprise a sponsored image; presenting one or more candidate images to the user, where the sponsored image is presented preferentially compared to other candidate images; receiving from the user a selected image from the one or more candidate images; generating the social media post comprising the selected image and the user-submitted text; and transmitting the social media post for display.

Top attributes of a product are identified from text content of an electronic document and are presented as visual depictions of the attributes. The attributes are identified and ranked based on the text content, such as whether the text content describes the attribute in a positive or negative manner. Top attributes are selected from the ranking and a visual depiction of the top attributes is identified. The visual depiction can be a universally recognized symbol or a custom image designated to an attribute. The visual depiction is superimposed on the text content associated with the attributes when the electronic document is presented at a display. In this way, top attributes for a product can be presented in a manner that condenses the relevant information provided by the electronic document into a format better suited for providing the information on small screens of mobile devices.

Top attributes of a product are identified from text content of an electronic document and are presented as visual depictions of the attributes. The attributes are identified and ranked based on the text content, such as whether the text content describes the attribute in a positive or negative manner. Top attributes are selected from the ranking and a visual depiction of the top attributes is identified. The visual depiction can be a universally recognized symbol or a custom image designated to an attribute. The visual depiction is superimposed on the text content associated with the attributes when the electronic document is presented at a display. In this way, top attributes for a product can be presented in a manner that condenses the relevant information provided by the electronic document into a format better suited for providing the information on small screens of mobile devices.

Presented herein are systems and methods that facilitate user review and uploading of files comprising medical images and associated metadata from a local computing device to a network-based image analysis and/or decision support platform. The systems and methods described herein allow image upload to be performed in a secure fashion that prevents the network-based platform from accessing sensitive data as it is prepared for upload. Prior to file upload, sensitive data elements are flagged and their values removed and/or masked. Notably, the approaches described herein provide intuitive graphical user interface (GUI) tools that allow a user, such as a medical practitioner or researcher, to review not only the images and metadata in the files that they plan to upload, but also to review and control the process by which sensitive data elements are removed and/masked, thereby confirming that all files are free of sensitive information prior to upload.

An image marking method, apparatus and system, which relates to the technical field of image processing. The present disclosure includes, when the working mode of the first client is a first mode, receiving a first marking task assigned by a second client, on the condition that the image marking approach is the first marking approach, according to a neural network model, determining a first marking result corresponding to the first original image; on the condition that the image marking approach is the second marking approach, according to an unsupervised algorithm model, determining a second marking result corresponding to the first original image; on the condition that the image marking approach is the third marking approach, receiving a third marking result inputted by a user into the first original image; and sending a target marking result to the second client.

In some implementations, a device may determine an interaction profile for a provider that is to engage with a user in a communication session. The interaction profile may be based on interaction data relating to interpersonal interactions involving the provider during one or more previous communication sessions. The interaction profile may indicate a bias of the provider in connection with one or more categories of users. The device may generate, based on the interaction profile, a visual representation that depicts at least a face of a person for presentation to the provider during the communication session. One or more characteristics associated with the one or more categories of users may be absent from the face of the person. The device may cause presentation of the visual representation to the provider during the communication session.

The system may include a method comprising requesting, by a computer, a receiver identifier associated with a receiver; receiving, by the computer, the receiver identifier in association with content; constructing, by the computer, a URL link comprising access to DICOM viewer code, DICOM data for the selected images, a sender identifier and the receiver identifier; generating, by the computer, a notification to the receiver, wherein the notification includes the URL link; and transmitting, by the computer, the notification to a receiver based on the receiver identifier.