Abstract: Media user interfaces are described, including user interfaces for accessing media controls or settings (e.g., accessing controls and/or settings to capture photos and/or videos to capture videos).

Abstract: An artificial intelligence system for managing a consumer relationship is provided. The artificial intelligence system includes: one or more client entities; a storage device configured to store data related to actions and characteristics of the one or more client entities, the actions and characteristics relating to payment of accounts receivable; one or more machine learning server devices configured to generate and update a machine learning model based on previous actions and characteristics of said one or more client entities; and predict future actions of the one or more client entities with respect to the payment of accounts receivable, based on the machine learning model.

Abstract: Media user interfaces are described, including user interfaces for capturing media (e.g., capturing a photo, recording a video), displaying media (e.g., displaying a photo, playing a video), editing media (e.g., modifying a photo, modifying a video), accessing media controls or settings (e.g., accessing controls or settings to capture photos or videos to capture videos), and automatically adjusting media (e.g., automatically modifying a photo, automatically modifying a video).

Abstract: This disclosure relates to various implementations that dynamically adjust one or more shallow depth of field (SDOF) parameters based on a designated, artificial aperture value. The implementations obtain a designated, artificial aperture value that modifies an initial aperture value for an image frame. The designated, artificial aperture value generates a determined amount of synthetically-produced blur within the image frame. The implementations determine an aperture adjustment factor based on the designated, artificial aperture value in relation to a default so-called “tuning aperture value” (for which the camera's operations may have been optimized). The implementations may then modify, based on the aperture adjustment factor, one or more SDOF parameters for an SDOF operation, which may, e.g., be configured to render a determined amount of synthetic bokeh within the image frame.

Abstract: The disclosed embodiments are directed to a media capture lock affordance for a graphical user interface displayed by a media capture device. The media capture lock affordance allows a user to lock and unlock a capture state of the media capture device using a simple and intuitive touch gesture that can be applied by the user's finger (e.g., the user's thumb) while holding the media capture device in one hand.

Abstract: The present disclosure generally relates to user interfaces. In some examples, the electronic device provides for transitioning between simulated lighting effects. In some examples, the electronic device applies a simulated lighting effect to an image. In some examples, the electronic device provides user interfaces for applying a filter to an image. In some examples, the electronic device provides for a reduced filter interface. In some examples, the electronic device provides a visual aid displayed in a viewfinder.

Abstract: The present disclosure generally relates to user interfaces for displaying representations of media (an image, video).

Abstract: A method and system is disclosed for acquiring image data of a subject. The image data can be collected with an imaging system in a selected manner and/or motion. More than one projection may be combined to generate and create a selected view of the subject.

Abstract: This disclosure relates to various implementations that dynamically adjust one or more shallow depth of field (SDOF) parameters based on a designated, artificial aperture value. The implementations obtain a designated, artificial aperture value that modifies an initial aperture value for an image frame. The designated, artificial aperture value generates a determined amount of synthetically-produced blur within the image frame. The implementations determine an aperture adjustment factor based on the designated, artificial aperture value in relation to a default so-called “tuning aperture value” (for which the camera's operations may have been optimized). The implementations may then modify, based on the aperture adjustment factor, one or more SDOF parameters for an SDOF operation, which may, e.g., be configured to render a determined amount of synthetic bokeh within the image frame.

Abstract: The disclosed embodiments are directed to a media capture lock affordance for a graphical user interface displayed by a media capture device. The media capture lock affordance allows a user to lock and unlock a capture state of the media capture device using a simple and intuitive touch gesture that can be applied by the user's finger (e.g., the user's thumb) while holding the media capture device in one hand.

Abstract: A method and system is disclosed for acquiring image data of a subject. The image data can be collected with an imaging system in a selected manner and/or motion. More than one projection may be combined to generate and create a selected view of the subject.