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.

Inventor： Saurabh Mehta ,  Saurabh Gupta ,  Sameer Bhatt

IPC: G06F16/58 ,  G06T7/00 ,  G06T11/60 ,  G06F16/2457 ,  G06F3/0484

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.

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.

Inventor： Saurabh Mehta ,  Saurabh Gupta ,  Sameer Bhatt

IPC: G06K9/00 ,  G06K9/32 ,  G11B27/34

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.

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.

Inventor： Saurabh Mehta ,  Saurabh Gupta ,  Sameer Bhatt

IPC: G06T11/60 ,  G06F17/30

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.

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.

Inventor： Saurabh Mehta ,  Saurabh Gupta ,  Sameer Bhatt

IPC: G06K9/00 ,  G11B27/34 ,  G06K9/32

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.