Generating content adaptive watermarks for digital images

    公开(公告)号:US12148062B2

    公开(公告)日:2024-11-19

    申请号:US17804503

    申请日:2022-05-27

    Applicant: Adobe Inc.

    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating marked digital images with content adaptive watermarks. In particular, in one or more embodiments, the disclosed systems intelligently evaluate a plurality of watermark configurations to select one or more content adaptive watermarks for one or more target digital images and generate one or more marked digital images by adding the selected content adaptive watermarks to the one or more target digital images.

    CUSTOMIZING DIGITAL CONTENT TUTORIALS BASED ON TOOL PROFICIENCY

    公开(公告)号:US20240086212A1

    公开(公告)日:2024-03-14

    申请号:US17930154

    申请日:2022-09-07

    Applicant: Adobe Inc.

    CPC classification number: G06F9/453 G06T11/60

    Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for customizing digital content tutorials for a user within a digital editing application based on user experience with editing tools. The disclosed system determines proficiency levels for a plurality of different portions of a digital content tutorial corresponding to a digital content editing task. The disclosed system generates tool proficiency scores associated with the user in a digital editing application in connection with the portions of the digital content tutorial. Specifically, the disclosed system generates the tool proficiency scores based on usage of tools corresponding to the portions. Additionally, the disclosed system generates a mapping for the user based on the tool proficiency scores associated with the user and the proficiency levels of the portions of the digital content tutorial. The disclosed system provides a customized digital content tutorial for display at a client device according to the mapping.

    Methods and systems for depth-aware image searching

    公开(公告)号:US11514102B2

    公开(公告)日:2022-11-29

    申请号:US16541039

    申请日:2019-08-14

    Applicant: ADOBE INC.

    Abstract: Embodiments provide systems, methods, and non-transitory computer storage media for providing search result images based on associations of keywords and depth-levels of an image. In embodiments, depth-levels of an image are identified using depth-map information of the image to identify depth-segments of the image. The depth-segments are analyzed to determine keywords associated with each depth-segment based on objects, features, or content in each depth-segment. An image depth-level data structure is generated by matching keywords generated for the entire image with the keywords at each depth-level and assigning the depth-level to the keyword in the image depth-level data structure for the entire image. The image depth-level data structure may be queried for images that contain keywords and depth-level information that match the keywords and depth-level information specified in a search query.

    AUTO-COMPLETE IMAGE SUGGESTIONS FOR IMAGE EDITING

    公开(公告)号:US20210217152A1

    公开(公告)日:2021-07-15

    申请号:US16742815

    申请日:2020-01-14

    Applicant: ADOBE INC.

    Abstract: Methods and systems are provided for generating auto-complete image suggestions. In embodiments described herein, a user image having an edit state is obtained. An edit state can indicate any edits applied by the user to the user image. For the user image, an auto-complete image suggestion is generated. The auto-complete image suggestion includes a representation of the user image with the user-applied edits as well as a set of supplemental edits. Such supplemental edits can be determined from a pre-edited image identified as similar to the user image.

    METHODS AND SYSTEMS FOR DEPTH-AWARE IMAGE SEARCHING

    公开(公告)号:US20210049203A1

    公开(公告)日:2021-02-18

    申请号:US16541039

    申请日:2019-08-14

    Applicant: ADOBE INC.

    Abstract: Embodiments provide systems, methods, and non-transitory computer storage media for providing search result images based on associations of keywords and depth-levels of an image. In embodiments, depth-levels of an image are identified using depth-map information of the image to identify depth-segments of the image. The depth-segments are analyzed to determine keywords associated with each depth-segment based on objects, features, or content in each depth-segment. An image depth-level data structure is generated by matching keywords generated for the entire image with the keywords at each depth-level and assigning the depth-level to the keyword in the image depth-level data structure for the entire image. The image depth-level data structure may be queried for images that contain keywords and depth-level information that match the keywords and depth-level information specified in a search query.

    PROPAGATION OF SPOT HEALING EDITS FROM ONE IMAGE TO MULTIPLE IMAGES

    公开(公告)号:US20200167893A1

    公开(公告)日:2020-05-28

    申请号:US16202916

    申请日:2018-11-28

    Applicant: Adobe Inc.

    Abstract: Systems and techniques for propagating spot healing edits from a source image to a target image include receiving a source image depicting a face with a healing region and a target image depicting the face. The face is detected in the source image including detecting facial feature points in the source image. The face is identified in the target image including detecting facial feature points in the target image. Facial feature point correspondence is determined between the facial feature points of the source image in the facial feature points of the target image. Region correspondence is determined between regions of the source image and regions of the target image using the facial feature point correspondence. The healing region of the face in the source image is transformed to a corresponding region of the face in the target image using the region correspondence.

    Generating and propagating personal masking edits

    公开(公告)号:US12243121B2

    公开(公告)日:2025-03-04

    申请号:US17890461

    申请日:2022-08-18

    Applicant: Adobe Inc.

    Abstract: In implementations of systems for generating and propagating personal masking edits, a computing device implements a mask system to detect a face of a person depicted in a digital image displayed in a user interface of an application for editing digital content. The mask system determines an identifier for the person based on an identifier for the face. Edit data is received describing properties of an editing operation and a type of mask used to modify a particular portion of the person depicted in the digital image. The mask system edits an additional digital image identified based on the identifier of the person using the type of mask and the properties of the editing operation to modify the particular portion of the person as depicted in the additional digital image.

    Generating and Propagating Personal Masking Edits

    公开(公告)号:US20240062431A1

    公开(公告)日:2024-02-22

    申请号:US17890461

    申请日:2022-08-18

    Applicant: Adobe Inc.

    Abstract: In implementations of systems for generating and propagating personal masking edits, a computing device implements a mask system to detect a face of a person depicted in a digital image displayed in a user interface of an application for editing digital content. The mask system determines an identifier for the person based on an identifier for the face. Edit data is received describing properties of an editing operation and a type of mask used to modify a particular portion of the person depicted in the digital image. The mask system edits an additional digital image identified based on the identifier of the person using the type of mask and the properties of the editing operation to modify the particular portion of the person as depicted in the additional digital image.

    Content-specific-preset edits for digital images

    公开(公告)号:US11854131B2

    公开(公告)日:2023-12-26

    申请号:US17147931

    申请日:2021-01-13

    Applicant: Adobe Inc.

    CPC classification number: G06T11/60 G06N20/00 G06T11/20 G06T7/11 G06T2210/12

    Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods for generating object-specific-preset edits to be later applied to other digital images depicting a same object type or applying a previously generated object-specific-preset edit to an object of the same object type within a target digital image. For example, in some cases, the disclosed systems generate an object-specific-preset edit by determining a region of a particular localized edit in an edited digital image, identifying an edited object corresponding to the localized edit, and storing in a digital-image-editing document an object tag for the edited object and instructions for the localized edit. In certain implementations, the disclosed systems further apply such an object-specific-preset edit to a target object in a target digital image by determining transformed-positioning parameters for a localized edit from the object-specific-preset edit to the target object.

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