Amazon Technologies, Inc.

Microsoft Technology Licensing, LLC

Matthew James Van Gorder

Thomas Richard Leonard

Brett Ethan Johnson

Alistair Robert Hirst

Michael Anthony Frazzini

Robert Duane Rost

Christian Robert Cabanero

Eric Stephen Nylund

Adam C F MacDonald

Ethan Zane Evans

Michael Martin George

Quais Taraki

Collin Charles Davis

Gerard Joseph Heinz, Ii

Mike Scavezze

Ashraf Alkarmi

Michael Schleif Pesce

Nicholas Joshua Lawson

Hardik V Shah

Jay Thaler

Holly A Hirzel

Felix Livni

Eadan Bloch

An audio analysis system that may analyze participant audio input in a game spectating environment. The audio analysis system may receive audio input for participants (broadcasters and/or spectators) in a game spectating system. The audio analysis system may analyze the audio input to generate audio analysis information for broadcasts, and provide the information to the game spectating system. The audio analysis information may be applied in the game spectating system in various ways. For example, the information may be used to determine active or popular broadcasts, broadcasters, games, and/or recordings of broadcasts, and the active or popular content may be indicated to spectators via a game spectating user interface. The audio analysis system may provide an application programming interface (API) to receive the audio input and to provide audio analysis information.

Spectator audio analysis in online gaming environments

In some cases, one or more tasks may be selected for inclusion within a content item or portions of a content item such as different story arcs. Each such task may be completed based, at least in part, on an associated set of one or more actions and an associated set of one or more parameters. Also, in some cases, one or more node layouts may be generated in association with a content item or portions of a content item. Each node within a node layout may, for example, have at least one associated task within a respective content item or content item portion.

Task-based content management

A media universe (MU) system may leverage network-based resources to store and maintain a database of content for a world encompassed by the media universe. One or more layers of content including a client layer may be overlaid on a base or canonical layer of content in the MU database to enable an immersive client experience within the media universe. Clients may participate within the media universe via the MU system, for example to create customized digital assets. Client-generated content or other content may be dynamically integrated into digital media based within the media universe, for example by leveraging the repository to store and access the client-generated content, and network-based computing resources to dynamically insert the content into digital media for streaming to the clients. Client-generated content may be promoted to intermediate layers and/or to canon within the MU database, for example by community voting, popularity, and so on.

Client-generated content within a media universe

Techniques described and suggested herein include systems and methods for generating and/or substituting application-local audiovisual data, such as audio, for analogous application-disabled remote audiovisual data when remote resources upon which the executing application depends become unavailable. For example, an executing application may, nominally, be partially or fully dependent on remote resources. If audiovisual data, such as audio resources used by the application, are ordinarily accessed by the application from a remote resource, but that remote resource (or some or all of the audiovisual data associated therewith) is/are unavailable to the application, the techniques described herein may be used to generate and/or select application-local substitute audiovisual data, so as to provide a user of the application a more consistent user experience, as well as to reduce reliance by the application on the stability and/or availability of the remote resource.

Contextual substitution of audiovisual application resources in response to unavailability

A media universe system may leverage network-based computation resources and services, for example a streaming service, and a digital asset repository or repository service to dynamically provide active content in digital media of the media universe streamed to the client. An asset repository may contain digital assets including 3D models of objects and characters used in the digital media. Client interactions with digital media via a client interface may be mapped to particular objects, characters, locations, etc. within the media universe according to the digital assets from the repository. Most or all content within a rendered scene streamed to a client device may be rendered as active content. Clients may interact with the active content to, for example, obtain contextual information about the corresponding objects, manipulate and explore objects, discover hidden content, reveal hidden storylines, order merchandise (e.g., via 3D printing) related to the content, etc.

Active content in digital media within a media universe

A media universe system may provide digital media content to clients via methods and apparatus that provide interactive and immersive viewing experiences to the clients. A repository service may store digital assets for the media universe and maintain an asset tracking database that may track how the digital assets of the media universe relate to one another over time within a world encompassed by the media universe. The repository service may also maintain mappings between the digital assets and other content of the media universe. The repository service may serve as a centralized continuity database for the world and the media universe. Providing an accessible, scalable, network-based location for the continuity database may enable developers to build interactive experiences for users to explore the world of the media universe, both spatially and temporally.

Repository service for managing digital assets

An audio analysis system that may analyze participant audio input in an online game environment. The audio analysis system may receive audio input for participants (players or spectators) in a current game session of a game executing within an online game system. The audio analysis system may analyze the audio input to generate audio analysis information for the current game session, and provide the audio analysis information to the online game system. The audio analysis information may be applied within the online game system in various ways. For example, the information may be displayed to the players and/or spectators via a user interface provided by game clients executing on respective client devices. The audio analysis system may provide an application programming interface (API) to receive audio input and provide audio analysis information to one or more game systems.

Player audio analysis in online gaming environments

Methods and apparatus for providing interactive and customized experiences to clients of a media universe (MU) system. The MU system may leverage network-based computation resources and services, for example a streaming service, and a digital asset repository or repository service to dynamically provide customized and customizable experiences to clients. Clients may create or modify digital assets (e.g., 3D models of characters, objects, etc.), which may be stored to the asset repository. The MU system may dynamically render digital media content of the media universe (e.g., movies, games, etc.) that includes the clients' custom digital assets (characters, objects, backgrounds, etc.) inserted into appropriate locations, and stream the dynamically customized content to respective client devices. Effectively, a client layer of content is overlaid on a base or canonical layer of content within digital media of the media universe.

Customizing client experiences within a media universe

Techniques described and suggested herein include systems and methods for generating and/or substituting application-local audiovisual data, such as audio, for analogous application-remote audiovisual data when remote resources upon which the executing application depends become unavailable. For example, an executing application may, nominally, be partially or fully dependent on remote resources. If audiovisual data, such as audio resources used by the application, are ordinarily accessed by the application from a remote resource, but that remote resource (or some or all of the audiovisual data associated therewith) is/are unavailable to the application, the techniques described herein may be used to generate and/or select application-local substitute audiovisual data, so as to provide a user of the application a more consistent user experience, as well as to reduce reliance by the application on the stability and/or availability of the remote resource.

Contextual generation and substitution of audiovisual application resources

Measurement data is correlated to one or more probable user states. The measurement data is associated with a user of the computing device and received from sensors communicatively coupled to the computing device. Execution of an application running on the computing device is altered based on the probable user states. In another embodiment, probable user states for a user of a computing device are processed. The probable user states are indicative of a level or type of interaction of the user with the computing device. The probable user states are also determined based on analysis of measurement data received from sensors communicatively coupled to the computing device. Indications of the probable user states are provided during execution of an online application on a second computing device.

Interpretation of user device inputs

Dynamic role selection of players for different roles in multiplayer gaming sessions is provided. Users seeking to participate in different roles in the game may request participation in the role. Selection of players for roles is made dynamically by varying a selection component for different sessions of the game. The selection component may be a user's game score over different time periods, and can be rotated for different sessions of the game, so that various levels of players have an opportunity to fill game roles.

Growing community of inventors

Redmond, WA, United States of America

Matthew James Van Gorder