Google Inc.

Lyft, Inc.

Facebook, Inc.

Ramesh Rangarajan Sarukkai

Yun Shi

Simon Ratner

Julian Frumar

Jianfeng Yang

Shiva Jaini

Vinay Shet

Nicola Ann Crane

Jamieson Robert Kerns

Kuan Loong Yong

Thomas James Broxton

Renee Park

Saurabh Saraf

Zindziswa Lara McCormick

Min-Hsuan Tsai

Shaohui Sun

Juhyun Lee

Jun Hong

Kai Wen

Asif Haque

James Kevin Murphy

Yuanyuan Malek

Kevin O Thompson

Jacob E Huston

Philippe Farhi

Lawrence Brian Landry

Kuan Loong Young

A computer-implemented method for optimizing the placement of previously selected breaks in a media item is provided herein. Embodiments of the method include steps of identifying a break in a media item, the break being associated with a first break point at a first time during playback of the media item. The method may also include steps of dynamically adjusting the placement of the breaks within the media item based on the performance of the media item.

Midroll breaks feedback system

This disclosure relates to systems and methods for displaying of thumbnails of content to be played after viewing of a video advertisement. A method includes generating a thumbnail associated with video content, the video content to be provided for playback after playback of a video advertisement, and presenting the thumbnail during the playback of the video advertisement to inform a user of the video content, wherein a skip counter indicative of time left until skipping of the video advertisement is enabled is provided, and wherein the time left is less than a remaining playing time of the video advertisement.

Thumbnail of content video to provide context to ad video playback

In one embodiment, a method includes receiving an image associated with an object in an environment, the image being captured by sensors associated with a vehicle, generating a feature representation of the image, determining a potential ground control point associated with the object based on the feature representation of the image, determining a predetermined location reading based on the potential ground control point, calculating a differential relative to the predetermined location reading based on the potential ground control point, and determining a location of the vehicle based on the differential and the predetermined location reading based on the potential ground control point.

Deep direct localization from ground imagery and location readings

The disclosed computer-implemented method may include (i) identifying, by a server computer system, a provider computing device for use in capturing street-level image data, where the provider computing device controls a camera positioned to capture street-level imagery outside the vehicle, (ii) determining, by the server computer system, a configuration that controls use of the provider computing device to provide street-level image data captured by the camera to the server computer system, (iii) sending, by the server computer system, the configuration to the computing device, and (iv) receiving, from the computing device, street-level image data captured by the computing device using the camera responsive to the configuration. Various other methods, systems, and computer-readable media are also disclosed.

Systems and methods for coordinated collection of street-level image data

A disclosed method may include receiving geographic coordinates of a location at which two parties are to rendezvous, generating a human-understandable geospatial descriptor for the request location, and sending the descriptor to respective devices of the two parties for presentation to the two parties. Generating the human-understandable geospatial descriptor may include identifying a human-visible feature in the vicinity of the request location that is labeled within available map data, selecting, based on a descriptor generation model, a reference expression relative to the identified feature, and applying a grammar-based constructor to the label and the selected reference expression to form the human-understandable geospatial descriptor. The model may be tuned using machine learning. The two parties may include a ride requestor and a ride provider in a ridesharing service. The identified feature may be a point of interest, landmark, street name, intersection, marker, or structure.

Automatic generation of human-understandable geospatial descriptors

In one embodiment, a method includes training an image localization model for determining an adjusted location reading for a vehicle based on its location reading and the associated image. The method further includes updating a location associated with the vehicle using the adjusted location reading. The training of the image localization model includes generating feature representations of a number of training images, and learning a relationship between the feature representations and differentials between a number of raw location readings and their respective reference location readings.

In one embodiment, one or more computer systems of a social-networking system retrieve a user profile for a user associated with a media device. The one or more computer systems of a social-networking system receive media consumption. The one or more computer systems of a social-networking system correlates the user profile and the media consumption data to determine device-based media consumption data associated with content being consumed on the media device. The one or more computer systems of a social-networking system store data that associates the user profile with the device-based media consumption data.

Correlating media consumption data with user profiles

Systems and methods are disclosed for identifying transitions within media content items. In one implementation, a processing device process a first media content item, the first media content item being associated with a transition, to identify one or more characteristics associated with the transition. The processing device processes a second media content item to identify at least one of the one or more characteristics at a chronological interval of the second media content item. The processing device receives a sponsored content item. The processing device provides, during a presentation of the second media content item, the sponsored content item at the chronological interval.

Identifying transitions within media content items

Methods, systems, and computer programs encoded on a computer storage medium, for distributing content are disclosed, including receiving a request for a content item to be stored for presentation with content of a first application when a client device is offline; in response, generating and transmitting data that causes the client device to store the content item for presentation with the content of the first application when the client device is offline; determining that a second application is installed; determining that the content item is able to be presented with content of the second application when the client device is offline; and in response, generating and transmitting analytics instructions that cause the client device to detect presentation of the content item with each of the first application and the second application and submit data specifying whether the content item was presented with the first application or the second application.

Providing a content item for presentation with multiple applications

Growing community of inventors

Los Gatos, CA, United States of America

Ramesh Rangarajan Sarukkai