Abstract: In examples, a device's native input interface (e.g., a soft keyboard) may be invoked using interaction areas associated with image frames from an application, such as a game. An area of an image frame(s) from a streamed game video may be designated (e.g., by the game and/or a game server) as an interaction area. When an input event associated with the interaction area is detected, an instruction may be issued to the client device to invoke a user interface (e.g., a soft keyboard) of the client device and may cause the client device to present a graphical input interface. Inputs made to the presented graphical input interface may be accessed by the game streaming client and provided to the game instance.

Abstract: Apparatuses, systems, and techniques to predict events within a gameplay session and modify a game broadcast based at least in part on the predicted events. In at least one embodiment, events within the gameplay session are predicted, which once predicted, cause assets to be generated and once the event is detected the assets are included in the game broadcast.

Abstract: In various examples, natural language processing may be performed on text generated by a game to extract one or more in-game events from the game. The system (e.g., a client device and/or server) may receive the text in the form of one or more strings generated by a game application. The system may then extract one or more in-game events from the text using natural language processing. The game may include the text in a message it sends to the system (e.g., using an Application Programming Interface (API)) and/or in a game log entry or notification. The text may be generated based at least on the game determining one or more conditions are satisfied in the gameplay (e.g., victory, points scored, milestones, eliminations, item acquisition, etc.). The text may be mapped to event templates, which may then be used to extract parameters of events therefrom.

Abstract: In various examples, natural language processing may be performed on text generated by a game to extract one or more in-game events from the game. The system (e.g., a client device and/or server) may receive the text in the form of one or more strings generated by a game application. The system may then extract one or more in-game events from the text using natural language processing. The game may include the text in a message it sends to the system (e.g., using an Application Programming Interface (API)) and/or in a game log entry or notification. The text may be generated based at least on the game determining one or more conditions are satisfied in the gameplay (e.g., victory, points scored, milestones, eliminations, item acquisition, etc.). The text may be mapped to event templates, which may then be used to extract parameters of events therefrom.

Abstract: In various examples, frames of a video may include a first visual object that may appear relative to a second visual object within a region of the frames. Once a relationship between the first visual object and the region is known, one or more operations may be performed on the relative region. For example, optical character recognition may be performed on the relative region where the relative region is known to contain textual information. As a result, the identification of the first visual object may serve as an anchor for determining the location of the relative region including the second visual object—thereby increasing accuracy and efficiency of the system while reducing run-time.

Abstract: Apparatuses, systems, and techniques to predict events within a gameplay session and modify a game broadcast based at least in part on the predicted events. In at least one embodiment, events within the gameplay session are predicted, which once predicted, cause assets to be generated and once the event is detected the assets are included in the game broadcast.

Abstract: In examples, a device's native input interface (e.g., a soft keyboard) may be invoked using interaction areas associated with image frames from an application, such as a game. An area of an image frame(s) from a streamed game video may be designated (e.g., by the game and/or a game server) as an interaction area. When an input event associated with the interaction area is detected, an instruction may be issued to the client device to invoke a user interface (e.g., a soft keyboard) of the client device and may cause the client device to present a graphical input interface. Inputs made to the presented graphical input interface may be accessed by the game streaming client and provided to the game instance.

Abstract: In various examples, natural language processing may be performed on text generated by a game to extract one or more in-game events from the game. The system (e.g., a client device and/or server) may receive the text in the form of one or more strings generated by a game application. The system may then extract one or more in-game events from the text using natural language processing. The game may include the text in a message it sends to the system (e.g., using an Application Programming Interface (API)) and/or in a game log entry or notification. The text may be generated based at least on the game determining one or more conditions are satisfied in the gameplay (e.g., victory, points scored, milestones, eliminations, item acquisition, etc.). The text may be mapped to event templates, which may then be used to extract parameters of events therefrom.

Abstract: In various examples, recordings of gameplay sessions are enhanced by the application of special effects to relatively high(er) and/or low(er) interest durations of the gameplay sessions. Durations of relatively high(er) or low(er) predicted interest in a gameplay session are identified, for instance, based upon level of activity engaged in by a gamer during a particular gameplay session duration. Once identified, different variations of video characteristic(s) are applied to at least a portion of the identified durations for implementation during playback. The recordings may be generated and/or played back in real-time with a live gameplay session, or after completion of the gameplay session. Further, video data of the recordings themselves may be modified to include the special effects and/or indications of the durations and/or variations may be included in metadata and used for playback.

Abstract: In various examples, recordings of gameplay sessions are enhanced by the application of special effects to relatively high(er) and/or low(er) interest durations of the gameplay sessions. Durations of relatively high(er) or low(er) predicted interest in a gameplay session are identified, for instance, based upon level of activity engaged in by a gamer during a particular gameplay session duration. Once identified, different variations of video characteristic(s) are applied to at least a portion of the identified durations for implementation during playback. The recordings may be generated and/or played back in real-time with a live gameplay session, or after completion of the gameplay session. Further, video data of the recordings themselves may be modified to include the special effects and/or indications of the durations and/or variations may be included in metadata and used for playback.

Abstract: In various examples, recordings of gameplay sessions are enhanced by the application of special effects to relatively high(er) and/or low(er) interest durations of the gameplay sessions. Durations of relatively high(er) or low(er) predicted interest in a gameplay session are identified, for instance, based upon level of activity engaged in by a gamer during a particular gameplay session duration. Once identified, different variations of video characteristic(s) are applied to at least a portion of the identified durations for implementation during playback. The recordings may be generated and/or played back in real-time with a live gameplay session, or after completion of the gameplay session. Further, video data of the recordings themselves may be modified to include the special effects and/or indications of the durations and/or variations may be included in metadata and used for playback.

Abstract: In various examples, frames of a video may include a first visual object that may appear relative to a second visual object within a region of the frames. Once a relationship between the first visual object and the region is known, one or more operations may be performed on the relative region. For example, optical character recognition may be performed on the relative region where the relative region is known to contain textual information. As a result, the identification of the first visual object may serve as an anchor for determining the location of the relative region including the second visual object—thereby increasing accuracy and efficiency of the system while reducing run-time.

Abstract: In various examples, frames of a video may include a first visual object that may appear relative to a second visual object within a region of the frames. Once a relationship between the first visual object and the region is known, one or more operations may be performed on the relative region. For example, optical character recognition may be performed on the relative region where the relative region is known to contain textual information. As a result, the identification of the first visual object may serve as an anchor for determining the location of the relative region including the second visual object—thereby increasing accuracy and efficiency of the system while reducing run-time.

Abstract: In various examples, frames of a video may include a first visual object that may appear relative to a second visual object within a region of the frames. Once a relationship between the first visual object and the region is known, one or more operations may be performed on the relative region. For example, optical character recognition may be performed on the relative region where the relative region is known to contain textual information. As a result, the identification of the first visual object may serve as an anchor for determining the location of the relative region including the second visual object—thereby increasing accuracy and efficiency of the system while reducing run-time.

Abstract: In various examples, recordings of gameplay sessions are enhanced by the application of special effects to relatively high(er) and/or low(er) interest durations of the gameplay sessions. Durations of relatively high(er) or low(er) predicted interest in a gameplay session are identified, for instance, based upon level of activity engaged in by a gamer during a particular gameplay session duration. Once identified, different variations of video characteristic(s) are applied to at least a portion of the identified durations for implementation during playback. The recordings may be generated and/or played back in real-time with a live gameplay session, or after completion of the gameplay session. Further, video data of the recordings themselves may be modified to include the special effects and/or indications of the durations and/or variations may be included in metadata and used for playback.

Abstract: In various examples, recordings of gameplay sessions are enhanced by the application of special effects to relatively high(er) and/or low(er) interest durations of the gameplay sessions. Durations of relatively high(er) or low(er) predicted interest in a gameplay session are identified, for instance, based upon level of activity engaged in by a gamer during a particular gameplay session duration. Once identified, different variations of video characteristic(s) are applied to at least a portion of the identified durations for implementation during playback. The recordings may be generated and/or played back in real-time with a live gameplay session, or after completion of the gameplay session. Further, video data of the recordings themselves may be modified to include the special effects and/or indications of the durations and/or variations may be included in metadata and used for playback.

Abstract: A method is provided for repairing an area of damaged coating on a component of a turbine module in a gas turbine engine, the component formed of a base material having a diffusion coating applied to the base material. The repair may be accomplished in place by directly heating the area to which a touch-up coating material has been applied with a hot gas plasma without the need to place the component in an oven for curing and heat treatment of the touch-up coating applied to the damaged area.

Abstract: A method is provided for repairing an area of damaged coating on a component of a turbine module in a gas turbine engine, the component formed of a base material having a diffusion coating applied to the base material. The repair may be accomplished in place by directly heating the area to which a touch-up coating material has been applied with a hot gas plasma without the need to place the component in an oven for curing and heat treatment of the touch-up coating applied to the damaged area.

Abstract: Provided are a method of initiating communication in a computing device including a touch sensitive display and the computing device. The method includes detecting a touch gesture that is performed on at least one tagged object included in an image displayed on the touch sensitive display and initiating, in response to the detection of the touch gesture, communication to at least one individual corresponding to the at least one tagged object selected or surrounded by the detected touch gesture, according to the detected touch gesture.

Abstract: A method is provided for repairing an area of damaged coating on a component of a turbine module in a gas turbine engine, the component formed of a base material having a diffusion coating applied to the base material. The repair may be accomplished in place by directly heating the area to which a touch-up coating material has been applied with a hot gas plasma without the need to place the component in an oven for curing and heat treatment of the touch-up coating applied to the damaged area.