Abstract: A process for rendering objects includes detecting a first surface of an object oriented in a first position. A first image is captured with a camera and at least partially captures a first marker on the first surface. A prompt requests manipulation of the object into a second position to expose a second surface to the camera in response to detecting a missing image of a marker. A second image of the second surface is captured with the camera and at least partially captures a second marker on the second surface. The object is rendered as a virtual representation in a virtual environment in response to detecting the first marker in the first image and the second marker in the second image. The size of the virtual representation is estimated based on the detected size of at least one of the first marker and the second marker.

Abstract: Processes, systems, and devices generate a training set comprising a first presentation having a first visual aid and a first audio description. The first visual aid and the first audio description are based on initial data retrieved from a first data source using a first indexing technique. The machine-learning system is trained using the first presentation and the initial data retrieved from the first data source using the first indexing technique. The machine-learning system generates a second presentation having a second visual aid and a second audio description. The second visual aid and the second audio description are based on refreshed data retrieved from the first data source using the first indexing technique. The machine-learning system presents the second presentation via an avatar in a virtual meeting room. The avatar is generated by the machine-learning system to present the second visual aid and the second audio description.

Abstract: Devices, systems and processes for providing local alerts to users via non-local channels are described. A process may include receiving, by a content distributor system, an alert message. The alert message includes a first alert condition and a second alert condition. The first alert condition and the second alert condition are identified in the alert message, and an alert notice is generated, based on the identified alert conditions, and transmitted to a user device coupled to the content distributor system. The first alert condition specifies an alert type. The second alert condition specifies a time period. The alert message may include a third alert condition specifying an action for a user of the user device to take or refrain from taking during the time period and the alert notice may identify the action. The alert message may include a target condition and the alert notice identifies actions to be performed.

Abstract: Processes, systems, and devices generate a training set comprising a first presentation having a first visual aid and a first audio description. The first visual aid and the first audio description are based on initial data retrieved from a first data source using a first indexing technique. The machine-learning system is trained using the first presentation and the initial data retrieved from the first data source using the first indexing technique. The machine-learning system generates a second presentation having a second visual aid and a second audio description. The second visual aid and the second audio description are based on refreshed data retrieved from the first data source using the first indexing technique. The machine-learning system presents the second presentation via an avatar in a virtual meeting room. The avatar is generated by the machine-learning system to present the second visual aid and the second audio description.

Abstract: Processes, systems, and devices generate a training set comprising a first presentation having a first visual aid and a first audio description. The first visual aid and the first audio description are based on initial data retrieved from a first data source using a first indexing technique. The machine-learning system is trained using the first presentation and the initial data retrieved from the first data source using the first indexing technique. The machine-learning system generates a second presentation having a second visual aid and a second audio description. The second visual aid and the second audio description are based on refreshed data retrieved from the first data source using the first indexing technique. The machine-learning system presents the second presentation via an avatar in a virtual meeting room. The avatar is generated by the machine-learning system to present the second visual aid and the second audio description.

Abstract: Various arrangements for augmenting live television are presented herein. Active wager information mapped to user account credentials can be received. The active wager information can indicate a wager that have been made with a separate electronic sportsbook provider system. A current live sports event being output for presentation at a content output device can be identified. A listing of wagers to be output for presentation at least partially based on the current live sports event being output for presentation at the content output device and the active wager information can be generated. Presentation of the current live sports event being output for presentation at the content output device can be augmented based on the listing of the wagers.

Abstract: A process for rendering objects includes detecting a first surface of an object oriented in a first position. A first image is captured with a camera and at least partially captures a first marker on the first surface. A prompt requests manipulation of the object into a second position to expose a second surface to the camera in response to detecting a missing image of a marker. A second image of the second surface is captured with the camera and at least partially captures a second marker on the second surface. The object is rendered as a virtual representation in a virtual environment in response to detecting the first marker in the first image and the second marker in the second image. The size of the virtual representation is estimated based on the detected size of at least one of the first marker and the second marker.

Abstract: A system for automatically selecting television channels based on wager information can include a set-top box, wager databases having user wager information, broadcast databases having broadcast schedule information, and a controller. The wager information can include an event identifier and a corresponding wager amount. The broadcast schedule can include a channel, a start time, and an end time for each event. The controller can include processors and memory devices having instructions that cause the processors to obtain wager information for the user from the wager databases, match each event identifier and corresponding wager amount to the broadcast schedule, determine a set of live events by comparing a current time with the start time and end time for each event, prioritize the live events based on wager amount, and send an instruction to the set-top box to display the channel corresponding to each live event in order of priority.

Abstract: Various arrangements for augmenting live television are presented herein. Active wager information mapped to user account credentials can be received. The active wager information can indicate a wager that have been made with a separate electronic sportsbook provider system. A current live sports event being output for presentation at a content output device can be identified. A listing of wagers to be output for presentation at least partially based on the current live sports event being output for presentation at the content output device and the active wager information can be generated. Presentation of the current live sports event being output for presentation at the content output device can be augmented based on the listing of the wagers.

Abstract: A system for automatically selecting television channels based on wager information can include a set-top box, wager databases having user wager information, broadcast databases having broadcast schedule information, and a controller. The wager information can include an event identifier and a corresponding wager amount. The broadcast schedule can include a channel, a start time, and an end time for each event. The controller can include processors and memory devices having instructions that cause the processors to obtain wager information for the user from the wager databases, match each event identifier and corresponding wager amount to the broadcast schedule, determine a set of live events by comparing a current time with the start time and end time for each event, prioritize the live events based on wager amount, and send an instruction to the set-top box to display the channel corresponding to each live event in order of priority.

Abstract: A system for automatically selecting television channels based on wager information can include a set-top box, wager databases having user wager information, broadcast databases having broadcast schedule information, and a controller. The wager information can include an event identifier and a corresponding wager amount. The broadcast schedule can include a channel, a start time, and an end time for each event. The controller can include processors and memory devices having instructions that cause the processors to obtain wager information for the user from the wager databases, match each event identifier and corresponding wager amount to the broadcast schedule, determine a set of live events by comparing a current time with the start time and end time for each event, prioritize the live events based on wager amount, and send an instruction to the set-top box to display the channel corresponding to each live event in order of priority.

Abstract: A system for automatically selecting television channels based on wager information can include a set-top box, wager databases having user wager information, broadcast databases having broadcast schedule information, and a controller. The wager information can include an event identifier and a corresponding wager amount. The broadcast schedule can include a channel, a start time, and an end time for each event. The controller can include processors and memory devices having instructions that cause the processors to obtain wager information for the user from the wager databases, match each event identifier and corresponding wager amount to the broadcast schedule, determine a set of live events by comparing a current time with the start time and end time for each event, prioritize the live events based on wager amount, and send an instruction to the set-top box to display the channel corresponding to each live event in order of priority.

Abstract: A system for automatically selecting television channels based on wager information can include a set-top box, wager databases having user wager information, broadcast databases having broadcast schedule information, and a controller. The wager information can include an event identifier and a corresponding wager amount. The broadcast schedule can include a channel, a start time, and an end time for each event. The controller can include processors and memory devices having instructions that cause the processors to obtain wager information for the user from the wager databases, match each event identifier and corresponding wager amount to the broadcast schedule, determine a set of live events by comparing a current time with the start time and end time for each event, prioritize the live events based on wager amount, and send an instruction to the set-top box to display the channel corresponding to each live event in order of priority.

Abstract: A system for automatically selecting television channels based on wager information can include a set-top box, wager databases having user wager information, broadcast databases having broadcast schedule information, and a controller. The wager information can include an event identifier and a corresponding wager amount. The broadcast schedule can include a channel, a start time, and an end time for each event. The controller can include processors and memory devices having instructions that cause the processors to obtain wager information for the user from the wager databases, match each event identifier and corresponding wager amount to the broadcast schedule, determine a set of live events by comparing a current time with the start time and end time for each event, prioritize the live events based on wager amount, and send an instruction to the set-top box to display the channel corresponding to each live event in order of priority.

Abstract: Methods, devices and systems are provided for provisioning an output device for use with a media device to produce synchronized audio and video portions of media content. An exemplary method involves a media device identifying a device type associated with the output device, obtaining synchronization settings for the device type from a server via a network, and presenting audiovisual content in accordance with the synchronization settings obtained from the server.

Abstract: Methods, devices and systems are provided for provisioning an output device for use with a media device to produce synchronized audio and video portions of media content. An exemplary method involves a media device identifying a device type associated with the output device, obtaining synchronization settings for the device type from a server via a network, and presenting audiovisual content in accordance with the synchronization settings obtained from the server.

Abstract: Methods, devices and systems are provided for provisioning an output device for use with a media device to produce synchronized audio and video portions of media content. An exemplary method involves a media device identifying a device type associated with the output device, obtaining synchronization settings for the device type from a server via a network, and presenting audiovisual content in accordance with the synchronization settings obtained from the server.

Abstract: Methods, devices and systems are provided for provisioning an output device for use with a media device to produce synchronized audio and video portions of media content. An exemplary method involves a media device identifying a device type associated with the output device, obtaining synchronization settings for the device type from a server via a network, and presenting audiovisual content in accordance with the synchronization settings obtained from the server.