Assisting users in visualizing dimensions of a product

    公开(公告)号:US11474677B2

    公开(公告)日:2022-10-18

    申请号:US15930559

    申请日:2020-05-13

    Applicant: ADOBE INC.

    Abstract: A computer readable medium for sizing a product includes instructions, that when executed by at least one processor, cause a computing device to: retrieve from a webpage information on a product including product dimensions; present on a display of a client device a graphical button that upon access by a user activates a camera for capturing an image of an object positioned at a focal distance from the camera, the object having a surface; prompt the user to enter boundary information of an imaginary housing to be placed on the surface; generate the imaginary housing dimensions in two dimensions (2D) based on the boundary information and the focal distance; and determine whether the product fits within the imaginary housing by comparing the product dimensions against the imaginary housing dimensions.

    INTEGRATING VIDEO CONTENT INTO ONLINE PRODUCT LISTINGS TO DEMONSTRATE PRODUCT FEATURES

    公开(公告)号:US20220309280A1

    公开(公告)日:2022-09-29

    申请号:US17212687

    申请日:2021-03-25

    Applicant: Adobe Inc.

    Abstract: Techniques are disclosed for identifying and presenting video content that demonstrates features of a target product. The video content can be accessed, for example, from a media database of user-generated videos that demonstrate one or more features of the target product so that a user can see and hear the product in operation via a product webpage before making a purchasing decision. The product functioning videos supplement any static images of the target product and the textual product description to provide the user with additional context for each of the product's features, depending on the textual product description. The user can quickly and easily interact with the product webpage to access and playback the product functioning video to see and/or hear the product in operation.

    RETRIEVING IMAGES THAT CORRESPOND TO A TARGET SUBJECT MATTER WITHIN A TARGET CONTEXT

    公开(公告)号:US20220237417A1

    公开(公告)日:2022-07-28

    申请号:US17158170

    申请日:2021-01-26

    Applicant: Adobe Inc.

    Abstract: Techniques are provided herein for retrieving images that correspond to a target subject matter within a target context. Although useful in a number of applications, the techniques provided herein are particularly useful in contextual product association and visualization. A method is provided to apply product images to a neural network. The neural network is configured to classify the products in the images. The images are associated with a context representing the combination of classified products in the images. These techniques leverage both seller-provided images of products and user-generated content, which potentially includes hundreds or thousands of images of the same or similar products as the seller-provided images. A graphical user interface is configured to permit a user to select the context of interest in which to visualize the products.

    Generating contextualized image variants of multiple component images

    公开(公告)号:US11354828B2

    公开(公告)日:2022-06-07

    申请号:US17344094

    申请日:2021-06-10

    Applicant: Adobe Inc.

    Abstract: In some embodiments, contextual image variations are generated for an input image. For example, a contextual composite image depicting a variation is generated based on a input image and a synthetic image component. The synthetic image component includes contextual features of a target object from the input image, such as shading, illumination, or depth that are depicted on the target object. The synthetic image component also includes a pattern from an additional image, such as a fabric pattern. In some cases, a mesh is determined for the target object. Illuminance values are determined for each mesh block. An adjusted mesh is determined based on the illuminance values. The synthetic image component is based on a combination of the adjusted mesh and the pattern from the additional image, such as a depiction of the fabric pattern with stretching, folding, or other contextual features from the target image.

    AUTOMATIC CLUSTERING AND MAPPING OF USER GENERATED CONTENT WITH CURATED CONTENT

    公开(公告)号:US20210295423A1

    公开(公告)日:2021-09-23

    申请号:US16824180

    申请日:2020-03-19

    Applicant: Adobe Inc.

    Abstract: Methods, systems, and non-transitory computer readable media are disclosed for determining a sub-set of user-submitted images that are similar to a curated image and presenting the sub-set of user-submitted images in connection with the curated image. The disclosed system presents a curated image depicting a product via a graphical user interface (e.g., on an e-commerce platform). In one or more embodiments, the disclosed system extracts feature vectors from the curated image and a plurality of user-submitted images. The disclosed system compares the feature vectors from the curated image and the plurality of user-submitted images to determine a sub-set of user-submitted images that are similar to the curated image. The disclosed system presents the sub-set of user-submitted images based on a user selection of the curated image.

    Image object pose synchronization
    56.
    发明授权

    公开(公告)号:US11087514B2

    公开(公告)日:2021-08-10

    申请号:US16438079

    申请日:2019-06-11

    Applicant: Adobe Inc.

    Abstract: Techniques for automatically synchronizing poses of objects in an image or between multiple images. An automatic pose synchronization functionality is provided by an image editor. The image editor identifies or enables a user to select objects (e.g., people) whose poses are to be synchronized and the image editor then performs processing to automatically synchronize the poses of the identified objects. For two objects whose poses are to be synchronized, a reference object is identified as one whose associated pose is to be used as a reference pose. A target object is identified as one whose associated pose is to be modified to match the reference pose of the reference object. An output image is generated by the image editor in which the position of a part of the target object is modified such that the pose associated with the target object matches the reference pose of the reference object.

    Intelligently generating digital note compilations from digital video

    公开(公告)号:US10929684B2

    公开(公告)日:2021-02-23

    申请号:US16415374

    申请日:2019-05-17

    Applicant: Adobe Inc.

    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for intelligently merging handwritten content and digital audio from a digital video based on monitored presentation flow. In particular, the disclosed systems can apply an edge detection algorithm to intelligently detect distinct sections of the digital video and locations of handwritten content entered onto a writing surface over time. Moreover, the disclosed systems can generate a transcription of handwritten content utilizing digital audio. For instance, the disclosed systems can utilize an audio text transcript as input to an optical character recognition algorithm and auto-correct text utilizing the audio text transcript. Further, the disclosed systems can analyze short form text from handwritten script and generate long form text from audio text transcripts. The disclosed systems can accurately, efficiently, and flexibly generate digital summaries that reflect diagrams, handwritten text transcriptions, and audio text transcripts over different presentation time periods.

    AUTOMATED IMAGE CAPTURE BASED ON EMOTION DETECTION

    公开(公告)号:US20200134296A1

    公开(公告)日:2020-04-30

    申请号:US16170724

    申请日:2018-10-25

    Applicant: ADOBE INC.

    Abstract: Methods and systems are provided for performing automated capture of images based on emotion detection. In embodiments, a selection of an emotion class from among a set of emotion classes presented, via a graphical user interface, is received. The emotion class can indicate an emotion exhibited by a subject desired to be captured in an image. A set of images corresponding with a video is analyzed to identify at least one image in which a subject exhibits the emotion associated with the selected emotion class. The set of images can be analyzed using at least one neural network that classifies images in association with emotion exhibited in the images. Thereafter, the image can be presented in association with the selected emotion class.

    Selective editing of brushstrokes in a digital graphical image based on direction

    公开(公告)号:US10573033B2

    公开(公告)日:2020-02-25

    申请号:US15846884

    申请日:2017-12-19

    Applicant: Adobe Inc.

    Abstract: An image editing application selectively edits a brushstroke in an image, based on a direction of the brushstroke. In some cases, the brushstroke is selectively edited based on a similarity between the direction of the brushstroke and a direction of an editing tool. Additionally or alternatively, directional data for each pixel of the brushstroke is compared to directional data for each position of the editing tool. Data structures capable of storing directional information for one or more of a pixel, a brushstroke, or a motion of an editing tool are disclosed.

    Content aware fill based on similar images

    公开(公告)号:US10467739B2

    公开(公告)日:2019-11-05

    申请号:US15622215

    申请日:2017-06-14

    Applicant: Adobe Inc.

    Abstract: A user identifies an unwanted object in a source image. Related images are identified on the basis of timestamp and/or geolocation metadata. Matching masks are identified in the source image, wherein each of the matching masks is adjacent to the selection mask. Features in the selection and matching masks which also appear in one of the related images are identified. The related image having a maximum of features which are tracked to a source image matching mask, but also a minimum of features which are tracked to the source image selection mask, is identified as a best-match related image. By mapping the source image matching masks onto the best-match related image, a seed region can be located in the best-match related image. This seed region is used for filling in the source image. This allows the unwanted object to be replaced with a visually plausible background having a reasonable appearance.

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