Yahoo! Inc.

Excalibur IP, LLC

Yahoo Assets LLC

Contentguard Holdings, Inc.

Logistimo India Private Limited

Prasad Ram

Arun Ramanujapuram

Malcolm G Slaney

Robert Schuler

Xin Wang

Guillermo Lao

Thanh Ta

Krishna Leela Poola

Prasad V Kulkarni

Sandeep Hejmadi

Chandrakant Meena

Subrahmanyam Divakarla

Embodiments of the invention are directed to using image data and contextual data to determine information about a scene, based on one or more previously obtained images. Contextual data, such location of image capture, can be used to determine previously obtained images related to the contextual data and other location-related information, such as billboard locations. With even low resolution devices, such as cell phone, image attributes, such as a histogram or optically recognized characters, can be compared between the previously obtained images and the newly captured image. Attributes matching within a predefined threshold indicated matching images. Information on the content of matching previously obtained images can be provided back to a user who captured the new image. User profile data can refine the content information. The content information can also be used as search terms for additional searching or other processing.

Data access based on con lent of image recorded by a mobile device

System and method for improving recognition of characters. A system for improving recognition of characters is disclosed. The system comprises at least one processor (), configured to receive an image () of an article () comprising characters to be recognized. The system () displays characters as recognized on a display screen (). Further, the system () is configured to receive user feedback comprising correction of an error made by the system () in recognizing at least one character and provide a system feedback comprising display of images or textual descriptions of one or more variants () of a character, which is incorrectly recognized by the system, which enables the natural person to adapt writing style to enable better quality inputs to the recognition module. The article () is a handwritten paper form (), filled and captured by the natural person.

System and method for improving recognition of characters

Techniques are provided that can be used in advertising campaign management in connection with auction-based online advertising. A tool is provided, for use by advertisers or advertising campaign managers, for being provided with, in connection with specified parameters, an indication of a competitive bid and a non-competitive bid. The tool may also provide an actual, estimated, or projected bid, which may be associated with an advertising campaign or a portion thereof, for comparison with the competitive bid and the non-competitive bid. The tool may allow assessment of a competitive bid landscape and help allow determination of an optimal bid.

Bid landscape tool

Embodiments of the invention are directed to using image data and contextual data to determine information about a scene, based on one or more previously obtained images. Contextual data, such location of image capture, can be used to determine previously obtained images related to the contextual data and other location-related information, such as billboard locations. With even low resolution devices, such as cell phone, image attributes, such as a histogram or optically recognized characters, can be compared between the previously obtained images and the newly captured image. Attributes matching within a predefined threshold indicate matching images. Information on the content of matching previously obtained images can be provided back to a user who captured the new image. User profile data can refine the content information. The content information can also be used as search terms for additional searching or other processing.

Data access based on content of image recorded by a mobile device

Web page clustering techniques described herein are URL Clustering and Page Clustering, whereby clustering algorithms cluster together pages that are structurally similar. Regarding URL clustering, because similarly structured pages have similar patterns in their URLs, grouping similar URL patterns will group structurally similar pages. Embodiments of URL clustering may involve: (a) URL normalization and (b) URL variation computation. Regarding page clustering, page feature-based techniques further cluster any given set of homogenous clusters, reducing the number of clusters based on the underlying page code. Embodiments of page clustering may reduce the number of clusters based on the tag probabilities and the tag sequence, utilizing an Approximate Nearest Neighborhood (ANN) graph along with evaluation of intra-cluster and inter-cluster compactness.

Techniques for clustering structurally similar web pages

A resource catalog system comprises a catalog organized as a set of metadata structures representing distributed system resources, language for resource invocation, and a query interpreter and optimizer. Query optimization includes dynamic functional composition by modeling resources according constraints and determining constraint-satisfaction to compose an execution plan. Query optimization may also include dynamic selection and scheduling of resources by combining a resource scheduling with adaptive feedback. The resources may comprise distributed software components, application programs, shell scripts, executables, and services. The resource catalog system accepts queries for operations on distributed resources through a declarative language or a procedural language. A query optimizer derives catalog operators from a query or elsewhere and accesses the system resources according to interpretation of the catalog operators. The optimizer also retrieves information concerning the location and/or physical interfaces of the system resources to fulfill the commands specified by the catalog operators.

Dynamic software composition in a component-based software system

A digital work and a system context (or resource information or system resource) are polarized enabling trusted rendering or replay of the digital work without depolarization of the digital content. The digital work includes digital content and resource information. Resource information may include information used by a replay application to format or process the digital content. The digital work and system context are polarized using a polarization scheme which relies on a polarization seed to initialize and customize the polarization. Different types of polarization seeds may be used, including a random number, a user's system's state or characteristic and a dynamic state-based polarization seed based on a dynamic system state or characteristic.

Growing community of inventors

Bengaluru, India

Arun Ramanujapuram