Google Inc.

Accenture Corporation

Knapp Investment Company Limited

Microsoft Technology Licensing, LLC

Denise Ho

Sashikanth Chandrasekaran

Varouj Armen Chitilian

Zachary Yeskel

Ajmal Asver

Matthew Stephen Steiner

Dmitry Kalenichenko

Timothy Raymond Zwiebel

Kavi Harshawat

Michal Palczewski

James A Gallagher

Anton Lopyrev

Dave Cohen

Tianxuan Chen

Chad Burkey

Darwin Yamamoto

Chandrashekar Raghavan

Aj Asver

William Hartley Setchell

Zhihong Xu

Phalachandra Sreepada Bhat

Mohammed Waleed Kadous

Brian Patrick Williams

Erik Murphy-Chutorian

Andrew Ames Bunner

Peter Jin Hong

Nadav Aharony

Marc Stogaitis

Pascal Tom Getreuer

Vincent Yanton Mo

Alan Lee Gardner, Iii

Nicholas Fey

Zhentao Sun

Marek L Gorecki

Stephen Mark Yolleck

Ami Patel

Richard Daniel Webb

Thomas Chao

Brian Duff

Daniel Estrada Alva

Benjamin Razon

Tony Weber

Liem Tran

Joseph A Farfel

Matthew Eric Waddell

Ralph Jacob Cressman

Antin Harasymiv

Mallinath Bareddy

Chunxiao Diao

Dennis Yung-Chi Hu

Min-Hao Wu

Dobromir Montauk

Aaron Schurman

Tina Chen

Kimberly Cianci

Clifford Tse-Yan Chan

Jumana Al Hashal

Grzegorz Glowaty

Reed Taylor

Tom Murphy

Juro Gottweis

James Gallagher

A flexible annotation framework normalizes auxiliary information from diverse sources, ranks the information for an individual search result, and provides a lightweight or full display of the auxiliary information in an annotation for the search result. An annotation thus displays information not typically part of the details included in the search result. An example method comprises, for at least one item in a search result page, identifying at least one annotation of a first annotation type in an annotation data store that references the item, identifying at least one annotation for a second annotation type in an annotation data store that references the item, ranking the annotation of the first annotation type and the annotation of the second annotation type and providing the highest ranked annotation as part of a search result for the item in the search result page.

Search result annotations

Conducting hands-free transactions comprises a server at a payment processing system, a user computing device, and a merchant computing device. The payment processing system receives a communication from a hands-free payment application on a user device, the communication comprising a first transaction token, an identification of a user account, and a beacon identifier. The merchant may provide a challenge to the user and use the response to identify the token and account of the user. The merchant computing device can use voice patterns of the user to assist in identifying the token and account of the user. The system receives from the merchant computing device a transaction request, the transaction request comprising the first transaction token and transaction data associated with the transaction request. The system determines that the transaction is for an amount less than a configured transaction limit and communicates a request for an authorization of the transaction.

Hands-free transactions with voice recognition

An account management system establishes an account for a user. The user enters user account information into the account and the account management system establishes a facial template for the user based on an image of the face of the user. The user requests to change user account information at a merchant POS (POS) device. The merchant POS device captures a facial image of the user and transmits the image the account management system, which generates a facial template and compares the generated facial template against the existing facial template associated with user account. If the generated facial template is less than a threshold difference from the existing facial template, the user may update user account information at the merchant POS device, which communicates the updated user account information to the account management system. The account management system associates the updated user account information with the user account.

Facial profile password to modify user account data for hands free transactions

An account management system establishes a facial template for a user based on an image. The user computing device, signed into a payment application at the merchant location, receives an identifier from a merchant beacon device to transmit to the account management system, which transmits payment tokens based on payment account data and facial templates to the merchant POS device for each user signed in at the merchant location. The merchant POS device identifies the user by comparing a captured image of the user against the received facial templates and transmits the payment token to an issuer system. At a later time, the account management system receives, from a user computing device, a subsequent user image and generates a subsequent facial template. If the difference of the subsequent facial template is less than a threshold from the existing facial template, the subsequent facial template is associated with the user account.

Facial profile modification for hands free transactions

Rendering graphical user interfaces to display post-interaction collectible icon animations experiences to users comprises an application of a user. An application provides a display to a user to initiate a wireless interaction and receives a notification of a tap of the one or more computing devices to conduct a pending interaction at a third party system. The application receives a notification from the third party system that the interaction has been conducted and communicates to an application system associated with the application that the interaction has been conducted. The application receives from the application system a post-interaction collectible icon animation. The graphical user interface renders the post-interaction collectible icon animation for display to the user. The graphical user interface allows the user to collect the collectible icon as part of a set for future display or sharing with a social network.

Graphical user interface displaying collectible icon animations

A user signs into an application via a user computing device at a merchant system location. The user computing device receives an identifier from a beacon device at the location to transmit to an account management system. The account management system transmits facial templates to the merchant camera device for users who are signed in to the application in range of the merchant beacon device. The user approaches a point of sale device to purchase a restricted product or service. The merchant camera device compares a captured facial image against the received facial templates to identify the user. A merchant POS device operator, after determining that the user is eligible for the restricted product or service based on account information of the user, selects a payment account of the user. The merchant POS device transmits transaction details to the account management system, which processes the transaction with an issuer system.

Identifying consumers via facial recognition to provide services

Facial profile password to modify user account data for hands-free transactions

Implementations generally relate to generating a group photo collection. In some implementations, a method includes determining a plurality of users in a specified group of users of a social network system. The method also includes receiving photos associated with the users. The method also includes providing an interface enabling the plurality of users to collaborate in creating a group photo collection, where the group photo collection includes the plurality of photos. The method also includes providing one or more recommendations to create a photo album based on one or more themes, where the one or more themes are based on patterns of objects recognized in the plurality of photos.

Generating a group photo collection

A computer-implemented method, computer program product, and computing system for providing a live stream of event content is provided. In an embodiment, a method may include defining an online collaborative space associated with an event. A plurality of event participants may be associated with the event. Content contributions may be received from one or more of the event participants. An event content update may be transmitted to a client event application based on the received content contributions to provide a live stream of event content.

System and method for event content stream

The disclosure includes a system and method for detecting fine grain copresence between users. The system includes a processor and a memory storing instructions that when executed cause the system to receive user input regarding copresence detection settings for a first user device, the copresence detection settings comprising a location and/or a user access control list, and determine a current location of the first user device. The system may determine whether copresence detection of the first user device is enabled at the current location based on the copresence detection settings and the current location. Based on determining that copresence detection is enabled, the system may refine copresence and perform an action based on fine grain copresence of the first and second user device.

Copresence permission model

The disclosed subject matter relates to computer implemented methods for automatic curation of digital images. In one aspect, the method includes selecting one of every two or more duplicate digital images of a plurality of digital images. The method further includes calculating an image quality score for each of the selected digital images. The method further includes associating a ranking with each of the selected digital images based on its respective calculated image quality score.

Automatic curation of digital images

Growing community of inventors

Los Altos, CA, United States of America

Denise Ho