公开(公告)号：US12008057B2

公开(公告)日：2024-06-11

申请号：US17509767

申请日：2021-10-25

Applicant: Google LLC

Inventor： Kristina Bohl ,  Ivan Oropeza ,  Lily Berg ,  Tracy Gu ,  Ethan Schreiber ,  Shanfeng Zhang ,  Howard Zhou ,  David Hendon ,  Zhen Li ,  Futang Peng ,  Teresa Ko ,  Jason Chang

IPC: G06F16/9535 ,  G06F16/906 ,  G06F16/9538 ,  G06F40/30 ,  G06N20/00

CPC classification number: G06F16/9535 ,  G06F16/906 ,  G06F16/9538 ,  G06F40/30 ,  G06N20/00

Abstract: A media application determines, based on pixels of images or videos from a collection of media items, clusters of media items such that the media items in each cluster have a visual similarity, wherein the collection of media items is associated with a user account. The media application selects a subset of the clusters of media from corresponding clusters of media items based on the media items in each cluster having a visual similarity within a range of threshold similarity values. The media application causes a user interface to be displayed that includes the subset of the clusters of media.

公开(公告)号：US11783521B2

公开(公告)日：2023-10-10

申请号：US17956909

申请日：2022-09-30

Applicant: Google LLC

Inventor： Dominick Lim ,  Kristi Bohl ,  Jason Chang ,  Vidya Valmikinathan ,  Taehee Lee ,  Jeremy Zhu

IPC: G06T11/60 ,  G06V20/00 ,  G06F18/23 ,  G06F3/048 ,  G06F16/55 ,  G06F16/58 ,  G06V20/30 ,  G06V20/40 ,  G06V40/16 ,  G06Q50/10 ,  G06F16/75 ,  G06F16/78 ,  G06F18/23211 ,  G06T5/50 ,  G06V10/762

CPC classification number: G06T11/60 ,  G06F18/23 ,  G06V20/00 ,  G06F3/048 ,  G06F16/55 ,  G06F16/5866 ,  G06F16/75 ,  G06F16/7867 ,  G06F18/23211 ,  G06Q50/10 ,  G06T5/50 ,  G06T2200/24 ,  G06T2207/20221 ,  G06V10/763 ,  G06V20/30 ,  G06V20/47 ,  G06V40/173

Abstract: Implementations described herein relate to methods, devices, and computer-readable media to generate and provide image-based creations. A computer-implemented method includes obtaining a plurality of episodes, each episode associated with a corresponding time period and including a respective set of images and person identifiers for each image. The method further includes forming a respective cluster for each episode that includes at least two person identifiers. The method further includes determining whether one or more person identifiers are included in less than a threshold number of clusters, and in response, removing the one or more person identifiers from the clusters that the one or more person identifiers that are included in. The method further includes merging identical clusters to obtain a plurality of people groups that each include two or more person identifiers and providing a user interface that includes an image-based creation based on a particular people group.

公开(公告)号：US11475616B2

公开(公告)日：2022-10-18

申请号：US17252707

申请日：2020-06-25

Applicant: Google LLC

Inventor： Dominick Lim ,  Kristi Bohl ,  Jason Chang ,  Vidya Valmikinathan ,  Taehee Lee ,  Jeremy Zhu

IPC: G06T11/60 ,  G06V20/00 ,  G06K9/62 ,  G06F3/048 ,  G06F16/55 ,  G06F16/58 ,  G06V20/30 ,  G06V20/40 ,  G06V40/16 ,  G06Q50/10 ,  G06F16/75 ,  G06F16/78

Abstract: Implementations described herein relate to methods, devices, and computer-readable media to generate and provide image-based creations. A computer-implemented method includes obtaining a plurality of episodes, each episode associated with a corresponding time period and including a respective set of images and person identifiers for each image. The method further includes forming a respective cluster for each episode that includes at least two person identifiers. The method further includes determining whether one or more person identifiers are included in less than a threshold number of clusters, and in response, removing the one or more person identifiers from the clusters that the one or more person identifiers that are included in. The method further includes merging identical clusters to obtain a plurality of people groups that each include two or more person identifiers and providing a user interface that includes an image-based creation based on a particular people group.

公开(公告)号：US11146520B2

公开(公告)日：2021-10-12

申请号：US16675269

申请日：2019-11-06

Applicant: Google LLC

Inventor： David Lieb ,  James Gallagher ,  Kedar Jayant Kanitkar ,  Teresa Ko ,  Loren Puchalla Fiore ,  Jason Chang ,  Nan Wang ,  Jingyu Cui ,  Shengyang Dai

IPC: H04L12/58 ,  G06F16/58 ,  G06F16/50 ,  G06T3/40 ,  H04L29/08

Abstract: Implementations relate to sharing images and image albums over a communication network. In some implementations, a computer-implemented method includes determining that a shared album data structure is accessible by a device and includes references to album images. The device determines one or more suggested images from a collection of stored images associated with a user, based on determining sharing scores for the stored images. The sharing scores are based on comparing one or more characteristics of the stored images to one or more corresponding characteristics of the album images. The method includes causing display of the one or more suggested images by the device, receiving a selection of at least one selected image of the suggested images based on received user input, and causing an update of the shared album data structure with the at least one selected image to be accessible over a communication network by recipient users.

公开(公告)号：US10885380B2

公开(公告)日：2021-01-05

申请号：US16592542

申请日：2019-10-03

Applicant: Google LLC

Inventor： Teresa Ko ,  Loren Puchalla Fiore ,  Jason Chang ,  Catherine Wah

IPC: G06K9/00 ,  G06K9/62 ,  G06K9/42 ,  G06F3/0482

Abstract: Some implementations can include a computer-implemented method and/or system for automatic suggestion to share images. The method can include identifying a plurality of images associated with a user and detecting one or more entities in the plurality of images. The method can also include constructing an aggregate feature vector for the plurality of images based on the one or more entities in the plurality of images and determining that the aggregate feature vector matches a first cluster. The method can further include, in response to determining that the aggregate feature vector matches the first cluster, providing a suggestion to the user for an image composition based on the plurality of images.