Yahoo! Inc.

Oath Inc.

Yahoo Ad Tech LLC

Verizon Patent and Licensing Inc.

Pierre Garrigues

Gerry Pesavento

Huy X Nguyen

Benjamin Jackson Culpepper

David Warland

Andrew Douglas Stadlen

Charles Cadieu

Anastasia Alexeevna Svetlichnaya

Rob Hess

Sachin Sudhakar Farfade

Venkat Kumar Reddy Barakam

Killian Koepsell

Ramu Adapala

Gerald Pesavento

Allison Janoch

Yu Zhong

Sripathi Ramadural

Sripathi Ramadurai

Benjamin Jack Culpepper

A system for generating an advertisement is provided. The system may receive an advertisement request from a client device and select an advertisement from a database in response to the advertisement request. The system may identify an advertiser web server associated with the advertisement, for example a landing page. The system may retrieve a picture from the advertiser web server and integrate the picture with the advertisement to generate an enhanced advertisement. The system may serve the enhanced advertisement to the client device.

Automated image ads

A system for multi-tier visual recognition comprises a processor and a memory. The processor is configured to calculate a rank for each of a plurality of object models. The plurality of object models are used for visual recognition. Each of the plurality of object models has a size. The processor is configured to divide the plurality of object models into a plurality of sets based at least in part on the rank for each of the plurality of object models, and provide a first set of the plurality of sets to a first tier and a second set of the plurality of sets to a second tier. The memory coupled to the processor and configured to provide the processor with instructions.

Cascaded multi-tier visual search system

Methods and systems for classifying images and adding images to piles include determining attributes of an image, classifying the image by determining a set of elements of a hierarchy of which the image is a member based at least in part on the attributes, and adding the image to one or more piles associated with the set of elements of the hierarchy of which the image is a member.

Automatic image piling

Disclosed are systems and methods for improving interactions with and between computers in content generating, searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods automatically identify and communicate media content to users as the media content is uploaded to the internet. The disclosed systems and methods leverage an internet hosted data firehose in order to build and communicate streams of content that are relevant to users' determined interests. Real-time analysis of the continuous stream of content results in curated media streams being created and communicated to users thereby stimulating social interactivity between users and automating the discovery of other users on a network.

Computerized system and method for automatically creating and communicating media streams of digital content

A system for tagging an object comprises and interface and a processor. The interface is configured to receive an image. The processor is configured to determine a key frame. Determining a key frame comprises determining that the image is stable. The processor is configured to determine a tag for an item in the key frame.

Real time object scanning using a mobile phone and cloud-based visual search engine

A system for determining piles comprises an interface and a processor. The interface is configured to receive an image. The processor is configured to determine one or more attributes of the image; to determine whether the image is a member of a top of a hierarchy based at least in part on the attributes. In the event it is determined that the image is a member of the top of the hierarchy: determine a set of elements of the hierarchy the image is a member of, based at least in part on the attributes and determine which of the set of entities are piles.

A system for link acquisition and usage using image recognition comprises an interface, a processor, and a memory. The interface is for receiving an image. The processor is configured to: determine one or more tags for the image; determine one or more links associated with the one or more tags; and cause an action associated with a selected link of the one or more links. The memory is coupled to the processor and is configured to provide the processor with instructions.

Link determination and usage using image recognition

A system for monitoring an image tagging system comprises a processor and a memory. The processor is configured to provide a user display for a type of monitoring of an image tagging system. The user display includes image tagging monitoring for: a) in the event that a computer vision match is found, a computer vision match and an associated computer vision tag and, b) in the event that no computer vision match is found, a human vision match and an associated human vision tag. A memory coupled to the processor and configured to provide the processor with instructions.

Monitoring an any-image labeling engine

A system for tagging an image comprises a processor and a memory. The processor is configured to analyze an image associated with an image query using one or more computer vision analysis types to determine zero or more computer vision matches. Each computer vision match has one or more associated computer vision tags. In the event that it is determined that there are zero computer vision matches, the processor is further configured to analyze the image associated with the image query using a human vision analysis system to determine zero or more human vision matches. Each human vision match has one or more associated human vision tags. A memory coupled to the processor and configured to provide the processor with instructions.

Growing community of inventors

San Francisco, CA, United States of America

Pierre Garrigues