International Business Machines Corporation

Snap Inc.

Facebook, Inc.

Square, Inc.

Microsoft Technology Licensing, LLC

Block, Inc.

Globalfoundries Inc.

Rong Yan

Yonghua Lin

Chao Zhu

Hai Zhan

Qing Fa Wang

Chao Xue

Liu Liu

Zhen Bo Zhu

Yantao Zheng

Timothy Michael Sehn

Yong Hua Lin

Abhay Raj Kumar

Mingqiang Li

Mai Leduc

Gian Perrone

Chamal Samaranayake

Sheldon Chang

Xinhao Cheng

Shipeng Li

Feng Wu

Ya-Qin Zhang

Jianbin Tang

Jun Song Wang

Ken W Chung

Kirk Ouimet

Andrew Grosvenor Cooper

Yu Fen Yuan

Peter Sellis

Antonio Felipe Garcia-Martinez

Sheng Xu

Huo Ding Li

Dan Hipschman

Bo Feng

Nathan P McCauley

Chao Pang

Yun Chi

Ling Shao

Kuan Feng

John Berian James

Xing Liu

Jian Zhang

Ya Bin Dang

Ke Wei Sun

Lin Chen

Mason Ng

Hua Wang

Philip Shi-lung Yu

Kun Wang

Evan Spiegel

John Richard Smith

Jian Ye Chen

Liang Chen

Philip Zigoris

Apostol Ivanov Natsev

Junsong Wang

Gang Luo

Dong Xie

Jelena Tesic

John Hegeman

Ankush Singla

Xing S H Liu

Jian Wen Chen

Jie Zhang

Shi Lei Zhang

Lin Luo

Milind R Naphade

Yi Ge

Yonggang Hu

Matthew Leon Hill

John Ronald Kender

Nathan Spindel

Joachim Bekmann

Murray Scott Campbell

Yu Song

Lexing Xie

Qiming Teng

Yanyan Hu

Yan Gong

Quoc-Bao Nguyen

Li Mei Jiao

Nuwan Senaratna

Naeem Ishaq

Feng Bo

Huajing Li

Berian James

J I Azhen

In some embodiments, a method of processing image data may include receiving environmental data and associated capture time data from a sensor of a mobile computing device, the capture time data reflecting capture time of the environmental data; processing the environmental data to generate metadata; time stamping the metadata using the capture time data; receiving video data and video time data at a processor; correlating the metadata to the video data using the capture time data and the video time data; receiving a search query; and/or identifying a frame within the video data by performing a search of the metadata using the search criterion.

System to correlate video data and contextual data

Systems and methods are presented that provide for receiving, at a media overlay publication system from a first client device, content to generate a media overlay, and generating the media overlay using the content received from the client device. The generated media overlay is stored in a database associated with the media overlay publication system and associated with a first characteristic of the content received from the first client device. The media overlay is provided to a second client device when a second characteristic of context data associated with the second client device correlates to the first characteristic for the media overlay, causing a display of the media overlay on a user interface of the second client device.

Media overlay publication system

Systems, methods, devices, server computers, storage media, and instructions for prioritized device action triggered by device scan data are described. In one embodiment, a mobile device performs a method that involves executing a messaging application with an image capture interface and a scanning input. An associated scanning mode comprises capture of scan data from a plurality of input/output modules of the first client device, analyzes the scan data to identify one or more scan data patterns by matching at least a portion of the scan data against a set of data patterns, and selects a priority system action based on the results of the matching of the portion of the scan data against the set of data patterns. In some embodiments, the priority system action is selected based on a priority ranking for identified scan data types.

Prioritized device actions triggered by device scan data

Transaction modification based on modeled profiles is described. In an example, transaction data can be received from merchant computing devices associated with merchants associated with a payment processing system. A model can be trained to generate profiles using, as training data, one or more of merchant data, buyer data, or the transaction data. Upon receiving an indication of a particular transaction between a buyer and a merchant, it can be determined that a characteristic of the transaction corresponds to a profile of the generated profiles. Based on the determination that the characteristic corresponds to the profile and the transaction data, a recommendation can be generated for a modification of the transaction to add an item or replace an item.

Transaction modification based on modeled profiles

Among other things, embodiments of the present disclosure improve the functionality of electronic messaging and imaging software and systems by automating the client-side transcoding of video data based on content. For example, an appropriate transcoding configuration can be selected for video data having complex motion or textures. Accordingly, video quality can be improve when complex motions or textures are present.

Content-based client side video transcoding

A portable electronic device with image capturing capabilities automatically or semi-automatically adjusts one or more image capturing parameters based on an input attribute of user engagement with a single-action haptic input mechanism. For example, the duration for which a single-action control button carried on a frame of the device is pressed automatically determines an image stabilization mode for on-board processing of captured image data In one example, an above-threshold press duration automatically activates a less rigorous image stabilization mode, while button release before expiry of the threshold automatically activates a more rigorous photo stabilization mode.

Automated adjustment of digital camera image capture parameters

In other embodiments, a method to perform image-based searching may include receiving a group of images from a content owner; creating an index using the group of images; receiving a further image from a mobile computing device of a user; determining a correlation between the further image and the index; and/or directing the mobile computing device of the user to content of the content owner, responsive to the determining of the correlation.

Redirection to digital content based on image-search

Technology is disclosed for transferring money anonymously between a sender and a recipient by use of a one-time use token. The method includes generating a one-time use token account for association with a one-time use token. The method includes generating the token and providing the token to the sender device in a machine-readable and transferable format. The method includes receiving a request to charge the one-time use token account after the token has been provided to the recipient device as a form of payment for a transaction. The method includes determining that an amount of the transaction is less than an amount of funds associated with the token and that the time of the transaction is within a time period for the use of the token. The method includes facilitating a transfer to the recipient account and deducting the amount of the transaction from a sender account.

Anonymous payment transactions

Systems and methods for distributing photo filters based on the location of the object in the image are described. A photo filter publication system detects that a client device in communication with the system has captured an image, identifies an object in the image, identifies a location of the object in the image, identifies an image overlay associated with the identified location and having object criteria satisfied by the identified object, and provides the identified image overlay to the client device.

Object recognition based image overlays

A service provider may receive item price information and/or point of sale (POS) transaction information from a plurality of merchant devices associated with a plurality of merchants. The service provider may categorize the plurality of merchants according to the types of items offered by the respective merchants, and may further categorize the merchants according to the locations at which they conduct business. The service provider may subsequently determine a price recommendation or other pricing information for a particular item offered by a particular merchant. A merchant device of the particular merchant may present the pricing information in a user interface that enables the merchant to view projected sales at various different price points. Further, the merchant may be able to specify one or more factors used for determining the recommend price, such as a desired business model, a desired clientele, a desired profit margin, or the like.

Determining pricing information from merchant data

Transaction modification based on modeled profiles is described. In an example, transaction data can be received by a payment processing system. The payment processing system can generate, using a trained model, profiles. Based at least in part on (i) receiving an indication that a buyer and a merchant are engaged in, or likely to be engaged in, a transaction and (ii) determining that a characteristic of the transaction corresponds to a profile, generating a communication to enable the buyer or the merchant to modify the transaction in association with processing of the transaction.

Growing community of inventors

Marina Del Rey, CA, United States of America

Rong Yan