Microsoft Technology Licensing, LLC

Microsoft Corporation

Sashi Raghupathy

Herry Sutanto

Sing Bing Kang

Brian Kevin Guenter

Kirk O Olynyk

Stephen Marschner

Manoj Kumar Biswas

Zoltan C Szilagyi

Timothy H Kannapel

Richard Jennings Duncan

Jamie N Wakeam

Michael Shilman

Ming Ye

Jerome J Turner

Charlton E Lui

Bodin Dresevic

Xin Wang

F David Jones

Zile Wei

Jesse Clay Satterfield

Feng Zhao

Jensen Michael Harris

Alexander J Kolmykov-Zotov

Max Glenn Morris

Christopher T Clark

Daniel Oliver

Sandy Wong

Ahsan Syed Kabir

Todd M Landstad

Ginger J Gloystein

Robert Emmett Kolba, Jr

Amy Harilal Rambhia

Katie Messerly

Billie Sue Chafins

Olivier Tritschler

Patrik Lundberg

Devang Thakker

Jian Wang

Patrice Y Simard

Yu Zou

Steve Dodge

Christopher Scott Dickens

Ranjib Singh Badh

Sarjana Sheth

Sermet Iskin

Haiyong Wang

Harris Syed

Jayaraman Kalyana Sundaram

Jacob Andrew Sabulsky

Axel Andrejs

Zainab Hakim

John Saxon Morrow

Roman Snytsar

Alexander G Gounares

Robert L Chambers

Gavin M Gear

Alex Jacob Simmons

Peter Loren Engrav

David Bargeron

Subha Bhattacharyay

Arin J Goldberg

Matthew P Rhoten

Kevin Phillip Paulson

Tobiasz Alexander Zielinski

Thomas R Wick

Sebastian Poulose

Kentaro Urata

Benoit Jules Jurion

Terri L Chudzik

Jerome Turner

Chengyang Li

Victoria H Chou

Lidia Schwarz

Amber P Race

Jensen Harris

Manoj Biswas

Ginger Gloystein

Michael M Shilman

Patrick F Simard

Zolton Szilagyi

Todd Landstad

Richard Duncan

Jamie Wakeam

Jian c/o Microsoft Research Asia Wang

Christopher Clark

Ahsan Kabir

Tobiasz Zielinski

Matthew Paul Rhoten

An action framework system provides context-based actions in association with a source application. The source application detects selection of a content element presented by the source application. The content element is associated with an application identifier identifying a target application and an action identifier identifying an operation to be executed by the target application on the content element. The target application identified by the application identifier is executed to perform the operation identified by the action identifier on the content element, responsive to detection of the selection of the content element. In one implementation, the source application is a search feature providing different contexts of search results (e.g., from a local file system search, a local application content search, a Web search, a remote application content search).

Context-based actions from a source application

An operating system provides an extensible share action to broker content sharing between applications executing on a computing platform such as a personal computer, tablet computer, or smartphone. The share action enables a consistent user experience for content sharing to be implemented across all applications and eliminates users having to switch from the current application they are using to some other functionality in order to share content. Applications can participate with the operating system share action as source applications and/or target applications. Source applications may describe what content is shareable given the current state of their application when the user chooses to invoke the share action. Target applications can be configured to receive the shared content from the source application according to content type, and will expose a companion view of their application to the user that is specifically tailored to facilitate sharing.

Extensible system action for sharing while remaining in context

One or more techniques and/or systems are provided for dynamically maintaining user centric data. For example, a data provider app may have knowledge about user centric data associated with a user (e.g., a social network app may have contact information for a social network friend of the user). A user centric profile may be defined for the user centric data based upon information provided by the data provider app (e.g., a contact card may be generated for the social network friend). Responsive to receiving a request for the user centric profile from a requestor app (e.g., an event planning app), the user centric profile may be exposed to the user but not to the requestor app for security and/or privacy purposes. For example, an operating system may present at least some of the user centric profile within an operating system user interface.

User centric data maintenance

Shape recognition is performed based on determining whether one or more ink strokes is not part of a shape or a partial shape. Ink strokes are divided into segments and the segments analyzed employing a relative angular distance histogram. The histogram analysis yields stable, incremental, and discriminating featurization results. Neural networks may also be employed along with the histogram analysis to determine complete shapes from partial shape entries and autocomplete suggestions provided to users for conversion of the shape into a known object.

Shape recognition using partial shapes

A method for grouping writing regions of digital ink receives processed digital ink that comprises writing regions. A relationship can be generated between a plurality of the writing regions. A feature set can be determined that is associated with the plurality of the writing regions. The plurality of the writing regions can be grouped based on the feature set.

Grouping writing regions of digital ink

Methods, systems, and computer-readable media for ascertaining neighborhood information in a dynamically changing environment, such as an electronic ink environment may include: (a) receiving data representing plural electronic ink strokes; (b) defining a first vertex associated with a first ink stroke; and (c) determining neighboring vertices to the first vertex, wherein the neighboring vertices are associated with ink stroke(s) other than the first ink stroke. Additional systems, methods, and computer-readable media may include: (a) receiving data representing plural electronic ink strokes; (b) defining plural vertices associated with the ink strokes; (c) receiving input indicating a selection of an ink component; and (d) determining at least one neighboring component by determining which ink component(s) located outside of the selection include one or more ink strokes having vertices that neighbor vertices included in the selection.

Systems, methods, and computer-readable media for fast neighborhood determinations in dynamic environments

A parsing system provides a parsed document to a user application labeling the document with indication symbols according to a scheme associated with the parsing results. Users are enabled to insert correction indicators such as handwritten gestures, icon selections, menu item selections, and the like in conjunction with the indication symbols. The document is re-analyzed performing the requested corrections such as line or block separations, line, block, word connections, etc. The operations provide support for the engine stack of the parsing system while accommodating independent user interfaces employed by the users. Insertion of correction indicators and subsequent re-analysis for correction may be performed upon user signal, in an iterative manner, or continuously.

Engine support for parsing correction user interfaces

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Sashi Raghupathy