Google Inc.

David William Hendon

Harshit Kharbanda

Christopher Kelley

Teresa Ko

Belinda Zeng

Jason Chang

Zhen Li

Futang Peng

Lily Berg

Erica Bjornsson

Kristina Bohl

Ethan Schreiber

Tracy Gu

Howard Zhou

Shanfeng Zhang

Ivan Oropeza

Systems and methods for multi-image search can include obtaining two or more images and determining one or more search results that are based on the two or more images. The one or more search results can be determined based on determined shared attributes of the two or more images. The one or more search results may be based on feature embeddings associated with the two or more images. The two or more images may be obtained based on one or more user interactions with one or more databases.

Multi-image search

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.

Determining a visual theme in a collection of media items

Growing community of inventors

Oakland, CA, United States of America

David William Hendon