Google Inc.

Mayur Dhondu Datar

Ashutosh Garg

Vibhu Mittal

Kedar Dhamdhere

Abhinandan Sujit Das

Bahman Rabii

Jeremiah Harmsen

Tomasz J Tunguz-Zawislak

Julie Tung

Andres S Perez-Bergquist

Jason C Miller

Megan Nance

Boris Mazniker

Roberto Javier Bayardo

Pranav Tiwari

Allen Huang

Jan Matthias Ruhl

Sumit Kumar Sanghai

Mike Hochberg

Andrew Stephen Tomkins

Vivek Kwatra

Jonathan Terleski

Yifang Liu

Zhenyu Liu

Justin Lewis Kosslyn

Ray Su

Allen Pin-Hsiu Huang

Huei-Hung Christopher Liao

Raveesh Nayar

Shanmugavelayutham Muthukrishnan

Kiran S Panesar

Manjunath Srinivasaiah

Christopher Wiggins

Michael Hochberg

Siavash Sedigh Nejad

Chris Wiggins

A system and method for transferring annotations associated with a media file. An annotation associated with a media file is indexed to a first instance of that media file. By comparing features of the two instances, a mapping is created between the first instance of the media file and a second instance of the media file. The annotation can be indexed to the second instance using the mapping between the first and second instances. The annotation can be processed (displayed, stored, or modified) based on the index to the second instance.

Annotation framework for video

Methods and apparatus for determining aspects of locations based on computing interactions of users that pertain to the locations. In some implementations, an aspect of a location may be determined based on comparing a first computing interaction measure for the location to a second measure. The first computing interaction measure may be determined based on a first group of computing interactions that pertain to the location. In some implementations, the second measure may be determined based on a second group of addition computing interactions. In some implementations, a textual summary may be generated automatically based on the first and/or second computing interaction measure, and/or based on the determined aspect.

Generating textual summary about physical location based on computing interactions pertaining to physical location

Aspects of the disclosure assist users with creative development of advertisements by converting successful advertisements into templates for use in the creation of new advertisements. The system and method suggest an advertisement to a user based on the type of content for which the user is advertising. For example, an advertisement may include a set of display criteria, and a set of creative content. The display criteria define a set of circumstances during which the advertisement may be displayed (e.g., a set of keywords that trigger the display of the advertisement). Advertisements that are particularly successful for a given set of display criteria are depersonalized and converted to templates. These templates may be provided during creation of new advertisements as suggested content.

Generation of an advertisement

Structured data sets including one or more attributes are identified, each structured data set associated with, for example, a particular user. Values corresponding the at least one of the one or more attributes in each structured data set are identified. A condition established by a content provider, for instance, an advertiser, is compared to the identified values to determine if the condition is satisfied. When the condition is satisfied, one or more content items are identified to the users associated with the structured data sets containing identified values satisfying the condition.

User-targeted advertising

In one implementation, an electronic package of assets substantially complying with a standard is received from a content provider. Placeholders in an application referring to items of content defined by the standard are replaced with items of content from the package of assets. In another implementation, an electronic package of assets substantially complying with a standard is received from a content provider. A publisher is identified, the package of assets is provided to the publisher, and an application incorporating items from the package of assets is received. In another implementation, a package of assets substantially complying with a standard is prepared, an application is received from a publisher, and a version of the application is generated, replacing references in the application to items defined in a standard with items of content from the package of assets.

Systems and methods for skinning an application with interactive content

A system and method for generating a stream of content for a channel. The channel application includes a content categorizer, a scoring engine and a channel engine. The content categorizer categorizes new content items received from heterogeneous data sources. The channel engine identifies a channel category for a user based at least in part on at least one of a historical trend and a user activity. The scoring engine queries the new content items based on the channel category and at least one other channel attribute. The scoring engine retrieves candidate content items that include the channel category and the other channel attribute. The scoring engine then generates a stream of content from the candidate content items for the channel.

Generating a stream of content for a channel

A method for enabling a user of a computing device to designate a content item for subsequent review is provided. The computing device is coupled to a memory device and a display. The method is implemented using the computing device. The method includes displaying, by the computing device, a first publication. The method further includes the steps of displaying, by the computing device, a content item at a first time, wherein the content item is displayed in conjunction with the first publication. The method further includes receiving, by the computing device, a first input from the user to designate the content item for subsequent review, generating an indicator that the content item has been designated for subsequent review, causing the memory device to store the indicator, determining a second time to display the content item, and displaying the content item at the second time.

Presentation of non-interrupting content items

In some instances, an image may have dimensions that do not correspond to a slot to display the image. For example, an image content item may have dimensions that do not correspond to a content item slot. The image may be resized using seam carving to add or remove pixels of the image. A saliency map for the image may be used having saliency scores for each pixel of the image. Evaluation metrics may be used before, during, and after, seam carving to determine whether salient content is affected by the seam carving. In some instances, a seam cost threshold value may be used for adaptive step size during the seam carving. The resized image may then be outputted, such as for an image content item to be served with a resource.

Systems and methods for resizing an image

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Sunnyvale, CA, United States of America

Mayur Dhondu Datar