Abstract: Interactive display of virtual trophies includes scanning a surface for one or more location anchor points. A trophy rack location is determined using the location anchor points. A trophy rack mesh is applied over an image frame of the surface using the determined trophy rack location. One or more trophy models are displayed over the trophy rack mesh with a display device. A trophy rack layout is generated information from the one or more trophy models and the trophy rack mesh and finally the trophy rack layout information is stored or transmitted.

Abstract: A database management engine provides a user interface that allows users to access and modify employee information in a database. The database includes entries for employees, and each database entry includes identifying information about the associated employee. A user can request to modify data within database entries, for instance in order to update information associated with an employee. Responsive to the request, the database management engine identifies liabilities associated with the database modification stemming from associated tax laws. Based on the identified tax liabilities, the engine computes the aggregate tax liability owed by the employer and/or employee. Before modifying a database entry, the engine modifies the user interface to include interface elements detailing the computed aggregate tax liability. The user explicitly can be required to confirm the database modification in view of the aggregate tax liability.

Abstract: Image-based customization comprises extracting feature parameters of a subject in a digital image with one or more neural networks trained with a machine learning algorithm configured to determine feature parameters of the subject. The feature parameters are then applied to a virtual model of the subject.

Abstract: Feature discovery includes determining what a user is doing or trying to do with respect to a computer platform from situational awareness information relating to the user's use of the platform. Feature discovery logic is applied to the situational awareness information and personalized user information to determine (a) when to present information to the user regarding a platform feature or features relevant to what the user is doing or trying to do, (b) what information to present to the user regarding the feature(s), and (c) how to best present the information to the user with a user interface. After the user interface presents the information regarding the platform feature(s) the feature discovery logic, personalized user information, or situational awareness information are updated according to the user's response to presentation of the information.

Abstract: A system and method provide application assistance with a mobile device including running an application on a computer system. A challenging application state of the application is detected. An assistance for the challenging application state may be determined wherein the assistance includes display of one or more assistance frames on the mobile device. Information regarding the determined one or more assistance frames is sent to the mobile device.

Abstract: A method, system and computer program product for automated visual setting importation is disclosed. A first application running on a first device requests a vision setting for a second application. A vision setting of the first application running on a first device is determined to correspond to the vision setting for the second application. The vision setting for the second application is then applied to the corresponding vision setting of the first application.