Smart multi-touch layout control for mobile devices

    公开(公告)号:US10963141B2

    公开(公告)日:2021-03-30

    申请号:US15375823

    申请日:2016-12-12

    Applicant: Adobe Inc.

    Abstract: Embodiments for manipulating an object, such as an image, are described. For example, a content application renders the object and supports multiple manipulation modes. A GUI of the application is available at a touch screen of a computing device. A mapping of standard touch screen gestures and object manipulations are defined for each manipulation mode. One of the modes is a standard manipulation mode that supports standard object manipulations. At least one other mode is a special manipulation mode. In this special mode, the standard user gestures are mapped to application-defined manipulations that are different from the standard object manipulations. Based on a user selection of one of the manipulation modes, the selected mode is activated. While in the activated manipulation mode, a standard user gesture is received and the relevant object manipulation is applied to the object.

    Automatically identifying complementary digital fonts based on digital text in electronic documents

    公开(公告)号:US10445408B2

    公开(公告)日:2019-10-15

    申请号:US15061796

    申请日:2016-03-04

    Applicant: Adobe Inc.

    Abstract: Systems and methods are disclosed for identifying digital fonts. In particular, in one or more embodiments, the disclosed systems and methods detect a digital font, font characteristics, and a text structure with regard to digital text in an electronic document. Moreover, in one or more embodiments, the disclosed systems and methods utilize the detected font characteristics and text structure to search for complementary digital fonts. In particular, one or more embodiments include systems and methods that generate a search query based on determined font characteristics and/or text structures and utilize the search query to automatically identify, recommend, and provide complementary digital fonts for utilization in the electronic document.

    Generating personalized in-application recommendations utilizing in-application behavior and intent

    公开(公告)号:US12061916B2

    公开(公告)日:2024-08-13

    申请号:US17657477

    申请日:2022-03-31

    Applicant: Adobe Inc.

    CPC classification number: G06F9/451

    Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that recommends application features of software applications based on in-application behavior and provides the recommendations within a dynamically updating graphical user interface. For instance, in one or more embodiments, the disclosed systems utilize behavioral signals reflecting the behavior of a user with respect to one or more software applications to recommend application features of the software application(s). For instance, in some cases, the disclosed systems recommend an application feature related to recent activity user, an application feature from a curated recommendation list that has yet to be viewed, and/or an application feature determined via machine learning. In some embodiments, the disclosed systems dynamically update a graphical user interface of a client device in real time as the user utilizes the client device to access and navigate the software application(s) to display these recommendations.

    GENERATING PERSONALIZED IN-APPLICATION RECOMMENDATIONS UTILIZING IN-APPLICATION BEHAVIOR AND INTENT

    公开(公告)号:US20230315491A1

    公开(公告)日:2023-10-05

    申请号:US17657477

    申请日:2022-03-31

    Applicant: Adobe Inc.

    CPC classification number: G06F9/451

    Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that recommends application features of software applications based on in-application behavior and provides the recommendations within a dynamically updating graphical user interface. For instance, in one or more embodiments, the disclosed systems utilize behavioral signals reflecting the behavior of a user with respect to one or more software applications to recommend application features of the software application(s). For instance, in some cases, the disclosed systems recommend an application feature related to recent activity user, an application feature from a curated recommendation list that has yet to be viewed, and/or an application feature determined via machine learning. In some embodiments, the disclosed systems dynamically update a graphical user interface of a client device in real time as the user utilizes the client device to access and navigate the software application(s) to display these recommendations.

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