公开(公告)号：US10950060B2

公开(公告)日：2021-03-16

申请号：US16908718

申请日：2020-06-22

Applicant: Adobe Inc.

Inventor： Gaurush Hiranandani ,  Chinnaobireddy Varsha ,  Sai Varun Reddy Maram ,  Kumar Ayush ,  Atanu Ranjan Sinha

IPC: G09G5/00 ,  G06T19/00 ,  G06Q10/00 ,  G06Q30/06 ,  G06Q10/06

Abstract: Certain embodiments involve enhancing personalization of a virtual-commerce environment by identifying an augmented-reality visual of the virtual-commerce environment. For example, a system obtains a data set that indicates a plurality of augmented-reality visuals generated in a virtual-commerce environment and provided for view by a user. The system obtains data indicating a triggering user input that corresponds to a predetermined user input provideable by the user as the user views an augmented-reality visual of the plurality of augmented-reality visuals. The system obtains data indicating a user input provided by the user. The system compares the user input to the triggering user input to determine a correspondence (e.g., a similarity) between the user input and the triggering user input. The system identifies a particular augmented-reality visual of the plurality of augmented-reality visuals that is viewed by the user based on the correspondence and stores the identified augmented-reality visual.

公开(公告)号：US20210012201A1

公开(公告)日：2021-01-14

申请号：US16507300

申请日：2019-07-10

Applicant: Adobe Inc.

Inventor： Kumar Ayush ,  Atishay Jain

IPC: G06N3/08 ,  G06K9/46 ,  G06K9/72 ,  G06K9/62

Abstract: A location-sensitive saliency prediction neural network generates location-sensitive saliency data for an image. The location-sensitive saliency prediction neural network includes, at least, a filter module, an inception module, and a location-bias module. The filter module extracts visual features at multiple contextual levels, and generates a feature map of the image. The inception module generates a multi-scale semantic structure, based on multiple scales of semantic content depicted in the image. In some cases, the inception block performs parallel analysis of the feature map, such as by parallel multiple layers, to determine the multiple scales of semantic content. The location-bias module generates a location-sensitive saliency map of location-dependent context of the image based on the multi-scale semantic structure and on a bias map. In some cases, the bias map indicates location-specific weights for one or more regions of the image.

公开(公告)号：US10475103B2

公开(公告)日：2019-11-12

申请号：US15492971

申请日：2017-04-20

Applicant: ADOBE INC.

Inventor： Gaurush Hiranandani ,  Sai Varun Reddy Maram ,  Kumar Ayush ,  Chinnaobireddy Varsha ,  Siddhant Jain

IPC: G06Q30/00 ,  G06Q30/06 ,  G06F16/583 ,  G06T7/73 ,  G06K9/62 ,  G06T11/60 ,  G06T11/00 ,  G06K9/00

Abstract: Provided are methods and techniques for providing a product recommendation to a user using augmented reality. A product recommendation system determines a user viewpoint, the viewpoint including an augmented product positioned in a camera image of the user's surroundings. Based on the viewpoint, the product recommendation system determines the position of the augmented product in the viewpoint and the similarity between the augmented product and other candidate products that are similar to the augmented product. The product recommendation system then creates a set of recommendation images, each recommendation image including an image of the candidate product that is substituted for the augmented product in the viewpoint. The product recommendation system can then evaluate the recommendation images based on overall color compatibility. Based on the evaluation, for example, the product recommendation system selects a recommendation image that is provided to the user.