CLASSIFICATION OF SUBJECTS WITHIN A DIGITAL IMAGE

    公开(公告)号:US20220139108A1

    公开(公告)日:2022-05-05

    申请号:US17575469

    申请日:2022-01-13

    Applicant: Adobe Inc.

    Abstract: Described herein is a system and techniques for classification of subjects within image information. In some embodiments, a set of subjects may be identified within image data obtained at two different points in time. For each of the subjects in the set of subjects, facial landmark relationships may be assessed at the two different points in time to determine a difference in facial expression. That difference may be compared to a threshold value. Additionally, contours of each of the subjects in the set of subjects may be assessed at the two different points in time to determine a difference in body position. That difference may be compared to a different threshold value. Each of the subjects in the set of subjects may then be classified based on the comparison between the differences and the threshold values.

    Digital Image Ordering using Object Position and Aesthetics

    公开(公告)号:US20210133861A1

    公开(公告)日:2021-05-06

    申请号:US16673599

    申请日:2019-11-04

    Applicant: Adobe Inc.

    Abstract: Digital image ordering based on object position and aesthetics is leveraged in a digital medium environment. According to various implementations, an image analysis system is implemented to identify visual objects in digital images and determine aesthetics attributes of the digital images. The digital images can then be arranged in way that prioritizes digital images that include relevant visual objects and that exhibit optimum visual aesthetics.

    CLASSIFICATION OF SUBJECTS WITHIN A DIGITAL IMAGE

    公开(公告)号:US20210124911A1

    公开(公告)日:2021-04-29

    申请号:US16664754

    申请日:2019-10-25

    Applicant: Adobe Inc.

    Abstract: Described herein is a system and techniques for classification of subjects within image information. In some embodiments, a set of subjects may be identified within image data obtained at two different points in time. For each of the subjects in the set of subjects, facial landmark relationships may be assessed at the two different points in time to determine a difference in facial expression. That difference may be compared to a threshold value. Additionally, contours of each of the subjects in the set of subjects may be assessed at the two different points in time to determine a difference in body position. That difference may be compared to a different threshold value. Each of the subjects in the set of subjects may then be classified based on the comparison between the differences and the threshold values.

    Image Composition Instruction Based On Reference Image Perspective

    公开(公告)号:US20190320113A1

    公开(公告)日:2019-10-17

    申请号:US15953311

    申请日:2018-04-13

    Applicant: Adobe Inc.

    Abstract: In implementations of image composition instruction based on reference image perspective, a template image of a desired object is captured. Reference images including a similar or same object as the desired object are obtained. Directions from a first location of where a template image was captured to a second location where a selected reference image was captured are obtained and exposed in a user interface to allow a user to move to the second location. At the second location, interactive instructions are generated based on a live video stream of the desired to move a camera capturing the video stream until a composition of the video stream is aligned with a composition of the reference image. The camera is configured with settings based on the reference image to capture a composed image having a same composition as the reference image.

    AUTOMATED VIDEO CORRECTION
    35.
    发明申请

    公开(公告)号:US20190188480A1

    公开(公告)日:2019-06-20

    申请号:US15847004

    申请日:2017-12-19

    Applicant: Adobe Inc.

    CPC classification number: G06K9/00718 G06K9/00744 G06K9/00758 G11B27/031

    Abstract: Automated video correction techniques are disclosed. In some examples, an example method may include identifying features in each video frame of the multiple video frames in a video, and identifying one or more major scenes in the video based on a matching of the features in each video frame. The method may also include, for each identified major scene, identifying a key reference frame based on the features in each video frame, identifying one or more bad video frames based on a comparison with the key reference frame, and identifying one or more sequences of bad video frames based on the identified one or more bad video frames. The video may then be corrected by removing the identified one or more sequences of bad video frames from the video.

    Automated video correction
    36.
    发明授权

    公开(公告)号:US10303950B1

    公开(公告)日:2019-05-28

    申请号:US15847004

    申请日:2017-12-19

    Applicant: Adobe Inc.

    CPC classification number: G06K9/00718 G06K9/00744 G06K9/00758 G11B27/031

    Abstract: Automated video correction techniques are disclosed. In some examples, an example method may include identifying features in each video frame of the multiple video frames in a video, and identifying one or more major scenes in the video based on a matching of the features in each video frame. The method may also include, for each identified major scene, identifying a key reference frame based on the features in each video frame, identifying one or more bad video frames based on a comparison with the key reference frame, and identifying one or more sequences of bad video frames based on the identified one or more bad video frames. The video may then be corrected by removing the identified one or more sequences of bad video frames from the video.

    Generating content aware image fill with geometrical constraints

    公开(公告)号:US10282877B2

    公开(公告)日:2019-05-07

    申请号:US15013762

    申请日:2016-02-02

    Applicant: Adobe Inc.

    Abstract: The present disclosure is directed towards systems and methods for modifying a digital image. For example, systems and methods described herein involve identifying a target portion of a digital image to remove from the digital image. The systems and methods further involve identifying geometric features intersecting or surrounding the identified target portion. The systems and methods further involve analyzing and identifying a source portion having geometric properties that correspond to the identified geometric features intersecting the target portion. Further, the systems and methods involve removing the target portion and replacing the target portion with the source portion by aligning the geometric properties to blend together with the background surrounding the removed target portion. In this way, the output image includes a replacement portion in place of the removed target portion that blends together with the background of the output image.

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