Microsoft Technology Licensing, LLC

Preetinderpal Singh Mangat

William Michael Mozell

David Seymour

Shannon Yen Yun Lee

Dashan Yue

Michael Mahar

Peter Duyen Hung Hoang

Joshua Trusz

Cody Snyder

Michelle Tze Hiang Chua

Jeremy Bruce Kersey

Enrico William Guld

Helen Joan Hem Lam

William Ben Hanke

Helen Lam

Henry Stuart Denison Watson

Matthew Nigel Carter

William Robert Schnurr

Jesse William Wesson

Darrin Adam Brown

Remus Gabriel Radu

Daniel Frank

Sang Young Park

Matthew Davy Walsh

Raymond Alexander Chi-Yue Lum

Michael James Perzel

Cameron McRae

Cameron David James McRae

Eric C Bridgwater

David T Ferguson

Myvictor Tran

Kirk Christopher Gibbons

Tyler Bielman

Daniel Daigle

Live-action event data is received during a live-action event from an event reporting computing system via a computer network interface. The live-action event data is provided to a machine-learning prediction machine previously trained with previously-completed event data to output a prediction for an upcoming aspect of the live-action event. The prediction is sent to a client computing system via the computer network interface prior to commencement of the upcoming aspect to enhance a live-action event experience provided by the client computing system.

Event prediction enhancements

Embodiments described herein enable user interaction with a video segment. A hit-zone file, which includes hit-zone data, is produced and stored for a video segment, wherein the hit-zone data corresponds to spatial regions that define hit-zones for hidden objects included in the video segment. The hit-zone file is provided to a computing system so that when the computing system displays the video segment the hit-zone file adds hit-zones for the hidden objects included in the video segment. The hit-zone file is produced separate from the video segment. Each of the hit-zones is defined by a different portion of the hit-zone data and corresponds to a different one of the hidden objects included in the video segment. The spatial regions that define the hit-zones for hidden objects are not visible to a user of the computing system that views the video segment with the hit-zones added.

Enabling user interactions with video segments

Various enhanced interactive TV experiences are supported by a real-time TV service that can interact over a network with applications running on interactive TV platforms. The real-time television service enables data, video, and communication user interface (UI) elements to be supported alongside the linear TV content in three discrete navigational states, each with a specific role aligning to user intent. In the case of one particular UI element&#x2014;a focused companion panel&#x2014;a live stream of personalized data is supported that enhances the user's comprehension and awareness of live events. The real-time TV service can further enable users to opt in to certain customizable events and be served notifications on the TV screen on which their attention is directed, and follow the notification into an application that lands them on a specific piece of content that satisfies specific conditions.

Enhanced interactive television experiences

Methods and systems for providing a customizable channel guide, and more specifically, a personalized channel guide for a user, are disclosed herein. In an embodiment, indications of types of content for which the user has an interest are received. Information about content that is available for viewing is accessed. Personalized channels for the user are generated based on the received indications of the types of content for which the user has an interest and based on the information about content that is available for viewing. Each separate personalized channel provides the user with access to a separate type of content for which the user has an interest. A listing of at least some of the personalized channels is displayed to thereby enable the user to select one of the personalized channels.

Customizable channel guide

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Surrey, Canada

Preetinderpal Singh Mangat