公开(公告)号：US20220198671A1

公开(公告)日：2022-06-23

申请号：US17126986

申请日：2020-12-18

Applicant: Adobe Inc.

Inventor： Brian Price ,  Su Chen ,  Shuo Yang

IPC: G06T7/11 ,  G06T7/143 ,  G06T7/136 ,  G06T7/162 ,  G06T7/90 ,  G06N3/08 ,  G06N3/04

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that utilize a deep neural network to process object user indicators and an initial object segmentation from a digital image to efficiently and flexibly generate accurate object segmentations. In particular, the disclosed systems can determine an initial object segmentation for the digital image (e.g., utilizing an object segmentation model or interactive selection processes). In addition, the disclosed systems can identify an object user indicator for correcting the initial object segmentation and generate a distance map reflecting distances between pixels of the digital image and the object user indicator. The disclosed systems can generate an image-interaction-segmentation triplet by combining the digital image, the initial object segmentation, and the distance map. By processing the image-interaction-segmentation triplet utilizing the segmentation neural network, the disclosed systems can provide an updated object segmentation for display to a client device.

公开(公告)号：US10904599B2

公开(公告)日：2021-01-26

申请号：US15994776

申请日：2018-05-31

Applicant: Adobe Inc.

Inventor： Somdeb Sarkhel ,  Viswanathan Swaminathan ,  Shuo Yang ,  Saayan Mitra ,  Lakshmi Shivalingaiah ,  Jason Boyer ,  Dwight Rodgers

IPC: H04N21/45 ,  H04N21/25 ,  H04N21/466 ,  H04N21/258 ,  G06K9/62 ,  G06N20/00

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that determine multiple personas corresponding to a user account for digital content and train a persona classifier to predict a given persona (from among the multiple personas) for content requests associated with the user account. By using the persona classifier, the disclosed methods, non-transitory computer readable media, and systems accurately detect a given persona for a content request upon initiation of the request. Based on determining the given persona, in some implementations, the methods, non-transitory computer readable media, and systems generate a digital-content recommendation for presentation on a client device associated with the user account.

公开(公告)号：US11676279B2

公开(公告)日：2023-06-13

申请号：US17126986

申请日：2020-12-18

Applicant: Adobe Inc.

Inventor： Brian Price ,  Su Chen ,  Shuo Yang

IPC: G06K9/00 ,  G06T7/11 ,  G06T7/143 ,  G06T7/136 ,  G06T7/162 ,  G06T7/90 ,  G06N3/088 ,  G06N3/045

CPC classification number: G06T7/11 ,  G06N3/045 ,  G06N3/088 ,  G06T7/136 ,  G06T7/143 ,  G06T7/162 ,  G06T7/90 ,  G06T2200/24 ,  G06T2207/20072 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20092

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that utilize a deep neural network to process object user indicators and an initial object segmentation from a digital image to efficiently and flexibly generate accurate object segmentations. In particular, the disclosed systems can determine an initial object segmentation for the digital image (e.g., utilizing an object segmentation model or interactive selection processes). In addition, the disclosed systems can identify an object user indicator for correcting the initial object segmentation and generate a distance map reflecting distances between pixels of the digital image and the object user indicator. The disclosed systems can generate an image-interaction-segmentation triplet by combining the digital image, the initial object segmentation, and the distance map. By processing the image-interaction-segmentation triplet utilizing the segmentation neural network, the disclosed systems can provide an updated object segmentation for display to a client device.