Abstract: A system and method determine the location of a device. The device collects sensor data using one or more sensors. Based on the sensor data, one or more localization models are selected from a plurality of localization models. The selected models are applied to generate one or more candidate locations. The current location of the device is determined based on the one or more candidate locations.

Abstract: A system and method determine the location of a device. The device collects sensor data using one or more sensors. Based on the sensor data, one or more localization models are selected from a plurality of localization models. The selected models are applied to generate one or more potential locations. The current location of the device is determined based on the one or more potential locations.

Abstract: Processing of actions within a shared augmented reality experience is split between an edge node of a communications network (e.g., a cell tower) and a server. As a result, computation of the current state may be sharded naturally based on real-world location, with state updates generally provided by the edge node and the server providing conflict resolution based on a master state (e.g., where actions connected to different edge nodes potentially interfere with each other). In this way, latency may be reduced as game actions are communicated between clients connected to the same edge node using a peer-to-peer (P2P) protocol without routing the actions via the game server.

Abstract: Systems and methods for providing a shared augmented reality environment are provided. In particular, the latency of communication is reduced by using a peer-to-peer protocol to determine where to send datagrams. Datagrams describe actions that occur within the shared augmented reality environment, and the processing of datagrams is split between an intermediary node of a communications network (e.g., a cell tower) and a server. As a result, the intermediary node may provide updates to a local state of a client device when a datagram is labelled peer-to-peer, and otherwise provides updates to the master state on the server. This may reduce the latency of communication and allow users of the location-based parallel reality game to see actions occur more quickly in the shared augmented reality environment.

Abstract: A system and method determine the location of a device. The device collects sensor data using one or more sensors. Based on the sensor data, one or more localization models are selected from a plurality of localization models. The selected models are applied to generate one or more potential locations. The current location of the device is determined based on the one or more potential locations.

Abstract: An augmented reality system generates computer-mediated reality on a client device. The client device has sensors including a camera configured to capture image data of an environment and a location sensor to capture location data describing a geolocation of the client device. The client device creates a three-dimensional (3-D) map with the image data and the location data for use in generating virtual objects to augment reality. The client device transmits the created 3-D map to an external server that may utilize the 3-D map to update a world map stored on the external server. The external server sends a local portion of the world map to the client device. The client device determines a distance between the client device and a mapping point to generate a computer-mediated reality image at the mapping point to be displayed on the client device.

Abstract: Exemplary media clip systems and methods provide end users of a media distribution service, such as a mobile television distribution service, with one or more media clip tools for creation, editing, sharing, accessing, and/or consumption of clips of media programs distributed by way of the media distribution service.

Abstract: An exemplary method of identifying a media program clip associated with a trending topic includes receiving a plurality of media content streams representative of a plurality of media programs, detecting, while the media content streams are being received, caption data included in the media content streams and associated with the media programs, identifying, based on the detected caption data, a trending topic associated with the plurality of media programs, and identifying a media program clip associated with the trending topic. Corresponding systems and methods are also described.

Abstract: Exemplary media clip systems and methods provide end users of a media distribution service, such as a mobile television distribution service, with one or more media clip tools for creation, editing, sharing, accessing, and/or consumption of clips of media programs distributed by way of the media distribution service.

Abstract: Exemplary media clip systems and methods provide end users of a media distribution service, such as a mobile television distribution service, with one or more media clip tools for creation, editing, sharing, accessing, and/or consumption of clips of media programs distributed by way of the media distribution service.

Abstract: Exemplary media clip systems and methods provide end users of a media distribution service, such as a mobile television distribution service, with one or more media clip tools for creation, editing, sharing, accessing, and/or consumption of clips of media programs distributed by way of the media distribution service.

Abstract: In an exemplary method, a media content recommendation system interfaces with a knowledge graph system to access knowledge graph data that represents a knowledge graph relationship between a subject and a media program in a knowledge graph, generates, based on the knowledge graph data, a media content recommendation that includes recommendation content indicating the media program and the knowledge graph relationship between the subject and the media program, and outputs the media content recommendation for presentation to a user by a user computing device.

Abstract: In an exemplary method, a media content recommendation system interfaces with a knowledge graph system to access knowledge graph data that represents a knowledge graph relationship between a subject and a media program in a knowledge graph, generates, based on the knowledge graph data, a media content recommendation that includes recommendation content indicating the media program and the knowledge graph relationship between the subject and the media program, and outputs the media content recommendation for presentation to a user by a user computing device.

Abstract: An exemplary method includes a media content management system receiving a media content stream, independently processing the media content stream in accordance with a multi-stage feature detection heuristic and in accordance with a signature matching heuristic, and classifying, based on the independent processing, a media content block included in the media content stream as including an advertisement break. Corresponding systems and methods are also described.

Abstract: In an exemplary method, a media content recommendation system determines that a media service account of an end user of a media service is linked to a social media account of the end user, accesses social media data from the social media account of the end user of the media service, generates a media content recommendation personalized to the end user of the media service based on the social media data, and provides the media content recommendation to an access device for presentation to the end user of the media service.

Abstract: An exemplary method of identifying a media program clip associated with a trending topic includes receiving a plurality of media content streams representative of a plurality of media programs, detecting, while the media content streams are being received, caption data included in the media content streams and associated with the media programs, identifying, based on the detected caption data, a trending topic associated with the plurality of media programs, and identifying a media program clip associated with the trending topic. Corresponding systems and methods are also described.

Abstract: An exemplary method includes a media content management system receiving a media content stream, independently processing the media content stream in accordance with a multi-stage feature detection heuristic and in accordance with a signature matching heuristic, and classifying, based on the independent processing, a media content block included in the media content stream as including an advertisement break. Corresponding systems and methods are also described.