Google Inc.

Lily Berg

Shinko Yuanhsien Cheng

Brian Potetz

Joe Agajanian

Keegan Mosley

Kristina Bohl

Teresa Ko

Jason Chang

Zhen Li

Futang Peng

David William Hendon

Ivan Oropeza

Ethan Schreiber

Tracy Gu

Howard Zhou

Shanfeng Zhang

A media application segments a library of media associated with a user account into episodes, wherein each episode is associated with a corresponding time period. The media application generates, using an event machine-learning model, an event signal that indicates a likelihood that an event occurred in each episode, wherein the event machine-learning model is a classifier that receives the media as input. The media application generates an event significance score for each episode. The media application determines one or more events from the episodes based on the event signal and a corresponding event significance score exceeding a threshold event significance value. The media application provides a user interface that includes corresponding media from the one or more events.

Automatic generation of events using a machine-learning model

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

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Los Angeles, CA, United States of America

Lily Berg