Contextualized video segment selection for video-filled text

    公开(公告)号:US11126856B2

    公开(公告)日:2021-09-21

    申请号:US16599387

    申请日:2019-10-11

    Applicant: Adobe Inc.

    Abstract: A video editing application generates video-filled text based on context-sensitive video segments. For example, the video editing application receives a text selection including multiple characters. A text selection context that identifies a characteristic of the text selection is determined, the context including a category of the text selection and a tag identifying an entity associated with the text selection. Scores are computed for multiple video segments, each score indicating a match between an attribute of the respective video segment and the text selection context. Video segments with attributes that match the context are selected, based on a comparison of each score to a threshold. The video editing application generates a composite video that includes a combination of a selected video segment and a character from the text selection, the combination including an outline of the character and the selected video segment.

    INTELLIGENT CONTEXT-BASED IMAGE RECOMMENDATIONS

    公开(公告)号:US20200066014A1

    公开(公告)日:2020-02-27

    申请号:US16113529

    申请日:2018-08-27

    Applicant: ADOBE INC.

    Abstract: Methods and systems are provided for an intelligent auto-fill process capable of smartly filling objects on a canvas using selected context-based images. Content related to the canvas is analyzed to determine context tags related to the canvas. The context tags are used to generate a media list comprised of one or more context-based image. The media list is used to automatically fill at least one object on the canvas such that a relevant part of the context-based image is visible. In this way, objects on a canvas can be automatically filled with images related to the context of the canvas.

    Adding color to digital images
    5.
    发明授权

    公开(公告)号:US11232607B2

    公开(公告)日:2022-01-25

    申请号:US16751959

    申请日:2020-01-24

    Applicant: Adobe Inc.

    Abstract: In implementations of adding color to digital images, an image colorization system can display a digital image to be color adjusted in an image editing interface and convert pixel content of the digital image to a LAB color space. The image colorization system can determine a lightness value (L) in the LAB color space of the pixel content of the digital image at a specified point on the digital image, and determine colors representable in an RGB color space based on combinations of A,B value pairs with the lightness value (L) in the LAB color space. The image colorization system can then determine a range of the colors for display in a color gamut in the image editing interface, the range of the colors corresponding to the A,B value pairs with the lightness value (L) of the pixel content at the specified point on the digital image.

    Adding Color to Digital Images
    6.
    发明申请

    公开(公告)号:US20210233287A1

    公开(公告)日:2021-07-29

    申请号:US16751959

    申请日:2020-01-24

    Applicant: Adobe Inc.

    Abstract: In implementations of adding color to digital images, an image colorization system can display a digital image to be color adjusted in an image editing interface and convert pixel content of the digital image to a LAB color space. The image colorization system can determine a lightness value (L) in the LAB color space of the pixel content of the digital image at a specified point on the digital image, and determine colors representable in an RGB color space based on combinations of A,B value pairs with the lightness value (L) in the LAB color space. The image colorization system can then determine a range of the colors for display in a color gamut in the image editing interface, the range of the colors corresponding to the A,B value pairs with the lightness value (L) of the pixel content at the specified point on the digital image.

    Contextualized Video Segment Selection For Video-Filled Text

    公开(公告)号:US20210110164A1

    公开(公告)日:2021-04-15

    申请号:US16599387

    申请日:2019-10-11

    Applicant: Adobe Inc.

    Abstract: A video editing application generates video-filled text based on context-sensitive video segments. For example, the video editing application receives a text selection including multiple characters. A text selection context that identifies a characteristic of the text selection is determined, the context including a category of the text selection and a tag identifying an entity associated with the text selection. Scores are computed for multiple video segments, each score indicating a match between an attribute of the respective video segment and the text selection context. Video segments with attributes that match the context are selected, based on a comparison of each score to a threshold. The video editing application generates a composite video that includes a combination of a selected video segment and a character from the text selection, the combination including an outline of the character and the selected video segment.

    Automatic creation of media collages

    公开(公告)号:US10692259B2

    公开(公告)日:2020-06-23

    申请号:US15380456

    申请日:2016-12-15

    Applicant: Adobe Inc.

    Abstract: Techniques for automatic creation of media collages are described. In one or more implementations, unwanted frames are identified and removed from items of media content. A media score is then determined for items of media content based on characteristics of an appearance of the items within a plurality of collage templates. A template score is determined for each collage template of the plurality of collage templates by combining the media scores for each media item of the plurality of media items included in a collage template. At least one of the plurality of collage templates is selected based on determined template scores. Then, at least one media collage is outputted based on the selected collage templates.

    Intelligent context-based image recommendations

    公开(公告)号:US11238628B2

    公开(公告)日:2022-02-01

    申请号:US16113529

    申请日:2018-08-27

    Applicant: ADOBE INC.

    Abstract: Methods and systems are provided for an intelligent auto-fill process capable of smartly filling objects on a canvas using selected context-based images. Content related to the canvas is analyzed to determine context tags related to the canvas. The context tags are used to generate a media list comprised of one or more context-based image. The media list is used to automatically fill at least one object on the canvas such that a relevant part of the context-based image is visible. In this way, objects on a canvas can be automatically filled with images related to the context of the canvas.

    Drop zone prediction for user input operations

    公开(公告)号:US11093126B2

    公开(公告)日:2021-08-17

    申请号:US15487221

    申请日:2017-04-13

    Applicant: Adobe Inc.

    Abstract: A digital medium environment is described to improve moving graphical user interface objects using predictive drop zones that are generated based on user input operations. In one example, a user input processing system receives user input, such as selection and movement of a graphical object. The user input processing system monitors the user input to determine velocity, acceleration, location, and direction of the graphical object as moved by the user input. From the monitoring, the user input processing system continuously determines a location for a predicted drop zone in the user interface that represents an ending point for the movement. The predicted drop zone is then rendered on the user interface in real-time until termination of the input, at which point the user input processing system moves the graphical object to the location of the predicted drop zone, rather than to a pointing device location.

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