Abstract: A method for generating a view of an event in a video game is provided, including the following operations: capturing two-dimensional (2D) gameplay video generated from a session of a video game; analyzing the 2D gameplay video to identify an event occurring in a scene depicted in the 2D gameplay video and identifying one or more elements involved in said event; further analyzing the 2D gameplay video to determine 3D geometry of the scene; using the 3D geometry of the scene to generate a 3D video asset of the event that occurred in the gameplay video; generating a 2D view of the 3D video asset for presentation on a display, wherein generating said 2D view includes determining a field of view (FOV) to apply for the 2D view, the FOV being configured to include the elements involved in the event.

Abstract: A method for generating a physical object is provided, including: capturing two-dimensional (2D) gameplay video generated from a session of a video game; analyzing the 2D gameplay video to identify a virtual object depicted in the 2D gameplay video; further analyzing the 2D gameplay video to determine 3D geometry of the virtual object; using the 3D geometry of the object to generate a 3D model of the virtual object; storing the 3D model to a user account; using the 3D model to generate a physical object resembling the virtual object.

Abstract: A method for generating a three-dimensional (3D) content moment from a video game is provided, including the following operations: capturing two-dimensional (2D) gameplay video generated from a session of a video game; analyzing the 2D gameplay video to determine 3D geometry of a scene depicted in the 2D gameplay video; using the 3D geometry of the scene to generate a 3D video asset of a moment that occurred in the gameplay video; storing the 3D video asset to a user account.

Abstract: A method for generating a three-dimensional (3D) content moment from a video game is provided, including the following operations: capturing two-dimensional (2D) gameplay video generated from a session of a video game; analyzing the 2D gameplay video to determine 3D geometry of a scene depicted in the 2D gameplay video; using the 3D geometry of the scene to generate a 3D still asset of a moment that occurred in the gameplay video; storing the 3D still asset to a user account.

Abstract: Methods and systems for provisioning resources for games executed by a cloud gaming system includes accessing online interactions of a plurality of users in relation to a game. The online interactions are processed to classify discussion features obtained from online social communications. A model is generated to predict game use, using the classified discussion features. The model is updated with online interactions received over time. Resources for the game are provisioned at a data center. The provisioning is done by accessing the model and identifying adjustments in the provisioning for an anticipated usage spike that is to occur by a plurality of users, based on current online interactions.

Abstract: Systems and methods for customized dialogue support in virtual environments are provided. Dialogue maps stored in memory may specify dialogue triggers each associated with a corresponding dialogue instruction. Data regarding an interactive session associated with a user device may be monitored based on one or more of the stored dialogue maps. The presence of one of the dialogue triggers specified by the one or more dialogue maps may be detected based on the monitored data. Customized dialogue output may be generated in response to the detected dialogue trigger and based on the dialogue instruction corresponding to the detected dialogue trigger. The customized dialogue output may be provided to the interactive session in real-time with detection of the detected dialogue trigger.

Abstract: Methods and systems for provisioning resources for games executed by a cloud gaming system includes accessing online interactions of a plurality of users in relation to a game. The online interactions are processed to classify discussion features obtained from online social communications. A model is generated to predict game use, using the classified discussion features. The model is updated with online interactions received over time. Resources for the game are provisioned at a data center. The provisioning is done by accessing the model and identifying adjustments in the provisioning for an anticipated usage spike that is to occur by a plurality of users, based on current online interactions.

Abstract: Methods and systems for provisioning resources for games executed by a cloud gaming system includes accessing online interactions of a plurality of users in relation to a game. The online interactions are processed to classify discussion features obtained from online social communications. A model is generated to predict game use, using the classified discussion features. The model is updated with online interactions received over time. Resources for the game are provisioned at a data center. The provisioning is done by accessing the model and identifying adjustments in the provisioning for an anticipated usage spike that is to occur by a plurality of users, based on current online interactions.

Abstract: Methods and systems for provisioning resources for games executed by a cloud gaming system includes accessing online interactions of a plurality of users in relation to a game. The online interactions are processed to classify discussion features obtained from online social communications. A model is generated to predict game use, using the classified discussion features. The model is updated with online interactions received over time. Resources for the game are provisioned at a data center. The provisioning is done by accessing the model and identifying adjustments in the provisioning for an anticipated usage spike that is to occur by a plurality of users, based on current online interactions.