Google Inc.

Simon Han

Kevin Courtney Smilak

Brian Axe

Keith Shoji Kiyohara

Hyduke Noshadi

Darren Delaye

Henry Benjamin

Kedar Kanitkar

Ping Hsin Chen

Evan Tsang

Matthew Stephen Steiner

David Cohen

Murtaza Halai

Isaac David Sparrow

Antonia Hidalgo

Amir Fish

Siobhan Quinn

Ryan Knauer

Ling Fang

Avner Swerdlow

David Valleau

Stephen DeSalvo

Derrick Treul

Lyric Liu

Anthony Howard Payne

Katherine Schwartz

Methods, systems, and media for presenting media content items with aggregated timed reactions are provided. In some embodiments, a method for presenting media content items with viewer reactions includes: retrieving a plurality of reactions associated with a media content item, wherein each reaction in the plurality of reactions comprises a reaction timestamp that corresponds to a time within the media content item at which a reaction was received and a graphical icon that was selected from a plurality of graphical icons that each correspond to one of the plurality of reactions; grouping the plurality of reactions based on the reaction timestamp and based on the selected graphical icon; identifying a plurality of key moments within the media content item based on the grouping of the plurality of reactions, wherein each of the plurality of key moments is associated with a representative graphical icon that corresponds to an aggregated viewer reaction; receiving a request from a user device to present the media content item; and causing the media content item to be presented in a video window while concurrently presenting the aggregated viewer reaction within the video window when a current playback position of the media content item corresponds to a time window associated with each of the plurality of key moments.

Methods, systems, and media for presenting media content items with aggregated timed reactions

The present disclosure comprises systems and methods for providing a stream of only those photographs (including those inter-mixed with videos and hybrid types (animated gifs, animated photo bursts, etc.)) that may be of interest to particular users in a social network based on consideration of user social graphs and other external signals generated for the photographs based on predefined criteria to determine user interest levels. The systems and methods obtain photographs, retrieve social graphs for particular users, evaluate and filter photographs, rank them, and limit the number of photographs provided for viewing from a single source. Accordingly, only photographs that are determined to be most interesting to particular users are provided for display to them.

Providing streams of filtered photographs for user consumption

A computer-implemented method for automatically sharing media between users is provided. A first image is received depicting a scene with one or more persons. Face detection information is identified for each person in the first image. Identification information for each face detected is obtained without user intervention. The face detection information and the identification information are associated with the first image. The first image including the associated face detection information and identification information is sent to a server hosting a media sharing service. An access link to an event group is received. The event group includes an album of the first image and a first collection of images that share a set of common features with the first image.

Automatic media sharing via shutter click

A computer-implemented method for automatically sharing media between users is provided. Collections of images are received from different users, where each collection is associated with a particular user and the users may be associated with each other. The collections are grouped into one or more albums based on the content of the images in the collection, where each album is associated with a particular user. The albums from the different users are grouped into one or more event groups based on the content of the albums. The event groups are then shared automatically, without user intervention, between the different users based on their associations with each other and their individual sharing preferences.

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Los Angeles, CA, United States of America

Simon Han