Abstract: According to one aspect of the present disclosure, a server is provided, comprising a processor configured to produce a combined frame from two or more video streams. The combined frame may include two or more panels, wherein each panel includes one of the two or more video streams. The combined frame may further include panel metadata indicating a set of coordinates for each panel. The coordinates of each panel may indicate a height, width, and position of that panel. The combined frame may further include at least one delimiter region of pixels formed between the panels. The processor may be further configured to transmit the combined frame over a network for output on a display device.

Abstract: Computer systems, methods, and storage media for rendering a holographic object in accordance with a physical relationship between the holographic object and an identified physical object. Virtual properties are assigned to a physical object, and in response to detecting a change to the physical relationship between the holographic object and the physical object, the holographic object is rendered according to a modification defined, at least in part, by the change to the physical relationship and by the properties assigned to the physical object.

Abstract: According to one aspect of the present disclosure, a server is provided, comprising a processor configured to produce a combined frame from two or more video streams. The combined frame may include two or more panels, wherein each panel includes one of the two or more video streams. The combined frame may further include panel metadata indicating a set of coordinates for each panel. The coordinates of each panel may indicate a height, width, and position of that panel. The combined frame may further include at least one delimiter region of pixels formed between the panels. The processor may be further configured to transmit the combined frame over a network for output on a display device.

Abstract: Computer systems, methods, and storage media for rendering a holographic object in accordance with a physical relationship between the holographic object and an identified physical object. Virtual properties are assigned to a physical object, and in response to detecting a change to the physical relationship between the holographic object and the physical object, the holographic object is rendered according to a modification defined, at least in part, by the change to the physical relationship and by the properties assigned to the physical object.

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: The determination of similarities between users in an online entertainment environment is disclosed. For example, one disclosed embodiment comprises a method of operating an entertainment server, wherein the method includes receiving user information that comprises user demographic information and user media selection information from each user of a plurality of users. For a current user, a plurality of similarity values are determined that each quantifies a similarity of the current user to another user based upon similarities between the user information of the current user and the user information of the other user. Then, the method comprises determining a list of other users to present to the current user based upon the similarity values determined, and sending the list of other users to the current user.

Abstract: A system and methods of incrementally updating a recording schedule in response to changes in user requests and changes in availability of requested content. Changes to the recording schedule may be prompted by a user request to record new content, a change in the parameters of an existing request, removal of a request, and the like. Before changing the recording schedule, an algorithm generates new possible recording schedules by combining recording assignments for a given program with the existing recording schedule. In one embodiment, the algorithm reduces the new possible recording schedules to a final recording schedule and applies the final recording schedule to a digital recording device. In another embodiment, the final recording schedule is presented to a user for approval before the schedule is applied to the digital recording device.

Abstract: A system and methods for configuring a television signal SourceType received by one or more tuners. Each of the tuners in the system are initially identified. The signal type is detected, and based on the signal type, a recorder thread is populated with compatible scanners. A weighted scanning order is established within each recorder thread. In one embodiment, the weighted scanning order is based in part on the region where the tuners receive a signal. Once the recorder threads are established, the tuners are scanned in parallel. Based on the scanning results, the television signal SourceType for each tuner is reported.

Abstract: The technology is a system and method for selecting a television lineup. The available television lineups capable of being viewed on a digital device are identified. One of the tuner positions is selected and the television channel designated in each available television lineup identified. If any of the television channels identified is a likely identifiable channel and is designated by approximately half of the available television lineups, available television lineups may be deleted based on the television signal received by the selected tuner position. In on embodiment, the tuner positions are selected in numerical order. In an alternative embodiment, the tuner positions are first sorted before one is selected. It may not be possible to delete lineups based on likely identifiable channels. In this case, a viewer may be prompted to identify a channel.

Abstract: Methods and systems for tracking user profile influence in a digital media system are provided. One exemplary method includes computing connection weights of connections between a plurality of user nodes, each user node representing a user profile of the digital media system, to thereby generate an influence network. The connection weights may be based on implicit activity notifications received at a media server via a plurality of media clients associated with the user nodes. The method may further include calculating a dynamic influence score for each of the user nodes based on the connection weights between the user nodes in the influence network. The method may further include comparing the dynamic influence scores to an influence score threshold to determine one or more lead user nodes, and sending an influence reward to the media clients associated with the one or more lead user nodes.

Abstract: The determination of similarities between users in an online entertainment environment is disclosed. For example, one disclosed embodiment comprises a method of operating an entertainment server, wherein the method includes receiving user information that comprises user demographic information and user media selection information from each user of a plurality of users. For a current user, a plurality of similarity values are determined that each quantifies a similarity of the current user to another user based upon similarities between the user information of the current user and the user information of the other user. Then, the method comprises determining a list of other users to present to the current user based upon the similarity values determined, and sending the list of other users to the current user.

Abstract: The technology is a system and method for selecting a television lineup. The available television lineups capable of being viewed on a digital device are identified. One of the tuner positions is selected and the television channel designated in each available television lineup identified. If any of the television channels identified is a likely identifiable channel and is designated by approximately half of the available television lineups, available television lineups may be deleted based on the television signal received by the selected tuner position. In on embodiment, the tuner positions are selected in numerical order. In an alternative embodiment, the tuner positions are first sorted before one is selected. It may not be possible to delete lineups based on likely identifiable channels. In this case, a viewer may be prompted to identify a channel.

Abstract: A system and methods of incrementally updating a recording schedule in response to changes in user requests and changes in availability of requested content. Changes to the recording schedule may be prompted by a user request to record new content, a change in the parameters of an existing request, removal of a request, and the like. Before changing the recording schedule, an algorithm generates new possible recording schedules by combining recording assignments for a given program with the existing recording schedule. In one embodiment, the algorithm reduces the new possible recording schedules to a final recording schedule and applies the final recording schedule to a digital recording device. In another embodiment, the final recording schedule is presented to a user for approval before the schedule is applied to the digital recording device.

Abstract: A system and methods for configuring a television signal SourceType received by one or more tuners. Each of the tuners in the system are initially identified. The signal type is detected, and based on the signal type, a recorder thread is populated with compatible scanners. A weighted scanning order is established within each recorder thread. In one embodiment, the weighted scanning order is based in part on the region where the tuners receive a signal. Once the recorder threads are established, the tuners are scanned in parallel. Based on the scanning results, the television signal SourceType for each tuner is reported.