Retrieving images that correspond to a target body type and pose

    公开(公告)号:US11605176B2

    公开(公告)日:2023-03-14

    申请号:US17154250

    申请日:2021-01-21

    Applicant: Adobe, Inc.

    Abstract: Techniques are provided for providing a user with retrieved images of a specific article of clothing or accessory worn by models having a particular body type and pose as selected by the user. The images have been analyzed to identify both a body type and pose of the model wearing the article of clothing in each of the images. The images are labeled based on at least body type and pose of the model and clustered based on their labels, and are thus available for retrieval by subsequent requests by a user. In particular, a user that is interested in the article of clothing can input one or more requests for images of models having a selected body type and pose. Any of the images labeled with the selected body type and pose can then be provided to the user in any number ways.

    Automatically correcting eye region artifacts in digital images portraying faces

    公开(公告)号:US11574388B2

    公开(公告)日:2023-02-07

    申请号:US17136508

    申请日:2020-12-29

    Applicant: Adobe Inc.

    Abstract: Methods, systems, and non-transitory computer readable media are disclosed for automatically, accurately, and efficiently correcting eye region artifacts including dark eye regions and wrinkles within a digital image portraying a human face. In particular, in one or more embodiments the disclosed systems localize areas within a digital image to identify eye region artifacts including dark eye regions and wrinkles. In one or more embodiments, the disclosed systems generate a corrected color image by correcting dark eye regions in a low frequency layer of the digital image by replacing the dark eye regions with candidate eye regions. Furthermore, in one or more embodiments the disclosed systems generate a corrected texture image by correcting wrinkles in a high frequency layer by processing the digital image utilizing a smoothing algorithm. The disclosed systems further generate a corrected digital image by combining the corrected color image and the corrected texture image.

    Automated braces removal from images

    公开(公告)号:US11475544B2

    公开(公告)日:2022-10-18

    申请号:US17072241

    申请日:2020-10-16

    Applicant: ADOBE INC.

    Abstract: Methods and systems are provided for facilitating automated braces removal from individuals in images. In embodiments described herein, an indication to remove the braces from an individual wearing braces in an image is obtained. Based on receiving the indication to remove the braces, automatically, without user intervention, a teeth region is identified in the image that includes teeth of the individual, and a braces region is identified that includes braces visible in the teeth region. The teeth region and braces region are used to generate an edited image that includes the individual without braces.

    RETRIEVING IMAGES THAT CORRESPOND TO A TARGET BODY TYPE AND POSE

    公开(公告)号:US20220230344A1

    公开(公告)日:2022-07-21

    申请号:US17154250

    申请日:2021-01-21

    Applicant: Adobe, Inc.

    Abstract: Techniques are provided for providing a user with retrieved images of a specific article of clothing or accessory worn by models having a particular body type and pose as selected by the user. The images have been analyzed to identify both a body type and pose of the model wearing the article of clothing in each of the images. The images are labeled based on at least body type and pose of the model and clustered based on their labels, and are thus available for retrieval by subsequent requests by a user. In particular, a user that is interested in the article of clothing can input one or more requests for images of models having a selected body type and pose. Any of the images labeled with the selected body type and pose can then be provided to the user in any number ways.

    ENHANCING REVIEW VIDEOS
    17.
    发明申请

    公开(公告)号:US20220215860A1

    公开(公告)日:2022-07-07

    申请号:US17680916

    申请日:2022-02-25

    Applicant: ADOBE INC.

    Abstract: Review videos on product pages are enhanced with user interface elements that cause playback of the review videos at points at which particular topics are discussed. A review video is processed by converting speech to text and timestamping the text. Topics are identified in the text, and a time in the review video corresponding to each topic is identified from the timestamps for the text. In some configurations, sentiment is also determined for each topic. User interface elements corresponding to each identified topic are presented with the review video on the product page. When a user viewing the product page selects a user interface element, the review video is played at a time corresponding to the topic of the selected user interface element.

    AUTOMATICALLY CORRECTING EYE REGION ARTIFACTS IN DIGITAL IMAGES PORTRAYING FACES

    公开(公告)号:US20220207662A1

    公开(公告)日:2022-06-30

    申请号:US17136508

    申请日:2020-12-29

    Applicant: Adobe Inc.

    Abstract: Methods, systems, and non-transitory computer readable media are disclosed for automatically, accurately, and efficiently correcting eye region artifacts including dark eye regions and wrinkles within a digital image portraying a human face. In particular, in one or more embodiments the disclosed systems localize areas within a digital image to identify eye region artifacts including dark eye regions and wrinkles. In one or more embodiments, the disclosed systems generate a corrected color image by correcting dark eye regions in a low frequency layer of the digital image by replacing the dark eye regions with candidate eye regions. Furthermore, in one or more embodiments the disclosed systems generate a corrected texture image by correcting wrinkles in a high frequency layer by processing the digital image utilizing a smoothing algorithm. The disclosed systems further generate a corrected digital image by combining the corrected color image and the corrected texture image.

    Image Content Snapping Guidelines
    19.
    发明申请

    公开(公告)号:US20220122258A1

    公开(公告)日:2022-04-21

    申请号:US17071157

    申请日:2020-10-15

    Applicant: Adobe Inc.

    Abstract: In implementations of image content snapping guidelines, a guidelines segmentation system includes modules, such as an image pre-processing module to reduce the image size of a digital image if the image size exceeds an image size threshold. An object segmentation module segments objects depicted in the digital image and identifies each object by a bounding border that delineates an object region boundary. An edge detection module receives a segmented object and determines object external edges and object feature edges from the segmented object, and identifies object corners of the object. A snapping guidelines module determines image content snapping guidelines of an object depicted in the digital image, the image content snapping guidelines for an object determined based on the bounding border of the object region boundary, the object external edges, the object feature edges, and projected snapping guidelines that extend from the object corners of the object.

    Classification of subjects within a digital image

    公开(公告)号:US11256907B2

    公开(公告)日:2022-02-22

    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.

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