Google Inc.

Henry Benjamin

Keith Shoji Kiyohara

Brian Axe

Hyduke Noshadi

Kevin Courtney Smilak

Darren Delaye

Kedar Kanitkar

Ping Hsin Chen

Simon Han

Evan Tsang

Justin Lewis

Michael Horowitz

Johannes Steffens

Stanley Charles Ross Wolf

Tobias Magnusson

Gavin Doughtie

Hong-Kien Kenneth Ong

Brian Westphal

Hartmut Neven

Hartwig Adam

Matthew Stephen Steiner

Hartwig Adams

Harmut Neven

Techniques are shown for generating image frames from a media presentation. In one embodiment a computer implemented method is provided. The method includes identifying, by a processing device, image frames from a media presentation comprising a plurality of image frames. Candidate thumbnails are selected from the identified image frames. A probability is determined that a selected candidate thumbnail with a success ranking higher than other selected thumbnails is an optimum candidate thumbnail for representing the media presentation in view of a relationship between the success ranking of the selected candidate thumbnail and the success rankings of the other selected candidate thumbnails. Thereupon, data for displaying the selected candidate thumbnail to a user as a representative of the media presentation is provided by the processing device.

Identifying a thumbnail image to represent a video

The subject disclosure relates to a machine-implemented method handling context data for tagged messages. The method includes identifying a tagged message, wherein the tagged message is generated by a user and includes content, obtaining context data associated with the tagged message, wherein the context data is obtained based on at least one of user input for the tagged message or server data for the tagged message, and providing access to the tagged message according to the obtained context data.

Handling context data for tagged messages

Methods, systems, and apparatus for managing labeling privileges. In one aspect, a method includes receiving label data defining a label to be associated with an image of a first user in a photograph, the first user identified by a first user identifier and the label data associated with a submitting user identifier; accessing data defining labeling privileges for the first user identifier, the labeling privileges being for second users identified by respective second user identifiers, and the labeling privileges defining, for each second user, a labeling privilege for the second user to label an image of the first user in a photograph; determining whether the submitting user identifier is included in the second user identifiers; in response to determining that the submitting user identifier is included in the second user identifiers: determining the labeling privileges for the user identified by the submitting user identifier, and processing the label accordingly.

Label privileges

Techniques are shown for generating image frames from a media presentation, selecting candidate thumbnails from the generated image frames using a selection process, and testing each selected candidate thumbnail for a success ranking relative to a target metric. The probability of choosing a selected candidate thumbnail with a success ranking higher than all other selected thumbnails as an optimum thumbnail for presentation to a user is based, at least in part, on the ratio of the success ranking of the selected candidate thumbnail with the highest success ranking to the sum of the success rankings of all of the selected candidate thumbnails. This Abstract is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

A method and apparatus for creating and updating a facial image database from a collection of digital images is disclosed. A set of detected faces from a digital image collection is stored in a facial image database, along with data pertaining to them. At least one facial recognition template for each face in the first set is computed, and the images in the set are grouped according to the facial recognition template into similarity groups. Another embodiment is a naming tool for assigning names to a plurality of faces detected in a digital image collection. A facial image database stores data pertaining to facial images detected in images of a digital image collection. In addition, the naming tool may include a graphical user interface, a face detection module that detects faces in images of the digital image collection and stores data pertaining to the detected faces in the facial image database, a face recognition module that computes at least one facial recognition template for each facial image in the facial image database, and a similarity grouping module that groups facial images in the facial image database according to the respective templates such that similar facial images belong to one similarity group.

Method and apparatus to incorporate automatic face recognition in digital image collections

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.

Growing community of inventors

Sherman Oaks, CA, United States of America

Henry Benjamin