Abstract: Example apparatus and methods concern managing the encoding and storing of game clips that are automatically generated to record video game highlights. Encoding game clips for smooth streaming using adaptive bit rates requires significant processing resources and storing the multiple bit rate encodings consumes significant storage. Therefore, example apparatus and methods compute a predicted popularity for a game clip based on user factors (e.g., status), video game factors (e.g., popularity), game clip factors (e.g., importance of event, uniqueness of event), or other factors. Predicted popularity may differ from actual popularity, therefore the popularity score may be recomputed using actual observations (e.g., number of views of the game clip). Additionally, actual observations may identify correlations between the factors used to predict popularity and the factors that actually determine popularity.

Abstract: Example apparatus and methods concern managing the encoding and storing of game clips that are automatically generated to record video game highlights. Encoding game clips for smooth streaming using adaptive bit rates requires significant processing resources and storing the multiple bit rate encodings consumes significant storage. Therefore, example apparatus and methods compute a predicted popularity for a game clip based on user factors (e.g., status), video game factors (e.g., popularity), game clip factors (e.g., importance of event, uniqueness of event), or other factors. Predicted popularity may differ from actual popularity, therefore the popularity score may be recomputed using actual observations (e.g., number of views of the game clip). Additionally, actual observations may identify correlations between the factors used to predict popularity and the factors that actually determine popularity.

Abstract: Example apparatus and methods concern managing the encoding and storing of game clips that are automatically generated to record video game highlights. Encoding game clips for smooth streaming using adaptive bit rates requires significant processing resources and storing the multiple bit rate encodings consumes significant storage. Therefore, example apparatus and methods compute a predicted popularity for a game clip based on user factors (e.g., status), video game factors (e.g., popularity), game clip factors (e.g., importance of event, uniqueness of event), or other factors. Predicted popularity may differ from actual popularity, therefore the popularity score may be recomputed using actual observations (e.g., number of views of the game clip). Additionally, actual observations may identify correlations between the factors used to predict popularity and the factors that actually determine popularity.

Abstract: Example apparatus and methods concern managing the encoding and storing of game clips that are automatically generated to record video game highlights. Encoding game clips for smooth streaming using adaptive bit rates requires significant processing resources and storing the multiple bit rate encodings consumes significant storage. Therefore, example apparatus and methods compute a predicted popularity for a game clip based on user factors (e.g., status), video game factors (e.g., popularity), game clip factors (e.g., importance of event, uniqueness of event), or other factors. Predicted popularity may differ from actual popularity, therefore the popularity score may be recomputed using actual observations (e.g., number of views of the game clip). Additionally, actual observations may identify correlations between the factors used to predict popularity and the factors that actually determine popularity.

Abstract: A system includes a workflow design application further including a user interface for displaying at least one project server platform type available for selection, and a project mode module configured to retrieve at least one available customizable project workflow component from the project server via a project server application programming interface (API). The user interface is configured to receive a project server platform type selection via the user interface, and, upon receiving the project server platform type selection, display the retrieved at least one customizable project workflow component, receive at least one customizable project workflow component selection, receive a customization selection for the selected customizable project workflow component, and receive a request to generate at least a portion of a project workflow based on the customization selection for the selected customizable project workflow component.