According to at least one embodiment, a method of processing data in a broadcast engineering environment includes: receiving a user request comprising a first identifier that identifies a discrete broadcast signal and identifying a set of identifiers associated with the first identifier. The set of identifiers includes at least one of Connection, Domain, Domain Type, Equipment, Essence, Feed, Format, Instance, Mnemonic Base, Pattern, Signal Mnemonic, or Site. The method further includes generating association information based on the identified set of identifiers, and transmitting the generated association information based on the received user request.

According to at least one embodiment, a method of processing data in a broadcast engineering environment includes: receiving a user request comprising a first identifier that identifies a discrete broadcast signal and identifying a set of identifiers associated with the first identifier. The set of identifiers includes at least one of Connection, Domain, Domain Type, Equipment, Essence, Feed, Format, Instance, Mnemonic Base, Pattern, Signal Mnemonic, or Site. The method further includes generating association information based on the identified set of identifiers, and transmitting the generated association information based on the received user request.

In one aspect, an example method includes (i) encountering, by a media playback device of a vehicle, a trigger to update a list of currently tunable radio stations; (ii) based on encountering the trigger to update the list of currently tunable radio stations, updating, by the media playback device, the list of currently tunable radio stations using a location of the vehicle and radio station contour data stored in a local database of the media playback device; and (iii) displaying, by the media playback device, a station list using the list of currently tunable radio stations.

In one aspect, an example method includes (i) encountering, by a media playback device of a vehicle, a trigger to update a list of currently tunable radio stations; (ii) based on encountering the trigger to update the list of currently tunable radio stations, updating, by the media playback device, the list of currently tunable radio stations using a location of the vehicle and radio station contour data stored in a local database of the media playback device; and (iii) displaying, by the media playback device, a station list using the list of currently tunable radio stations.

The present invention provides a method for transmitting a broadcasting signal. A method for transmitting a broadcasting signal according to the present invention suggests a system capable of supporting a next generation broadcasting service in an environment which supports a next generation hybrid broadcast using a terrestrial broadcast network and an internet network. Furthermore, in an environment which supports a next generation hybrid broadcast, suggested is an efficient signaling scheme which can embrace both a terrestrial broadcast network and an internet network.

A method including while receiving a live digital audio stream from one or more remote servers and outputting the live digital audio stream via a speaker of a client device, receiving the updated content schedule from the one or more remote servers, generating and displaying a real-time programming guide user-interface including the updated content schedule and least one content segment component corresponding to at least one of the content segment data in the updated content schedule. The method further includes transmitting a content segment digital audio signal request to the one or more remote servers for a prior portion of the live digital audio stream corresponding to the content segment data; and, in response to receiving the prior portion of the live digital audio stream, ceasing outputting the live digital audio stream and outputting the prior portion of the live digital audio stream corresponding to the content segment data.

A system and method for streaming customized audio is disclosed. The system and method allow for the selection of advertisements based on at least one feature of a listener and insertion of the selected advertisements into a customized digital audio stream subsequently transmitted to a particular listener. In a particular embodiment, the advertisement is provided as a text string which is converted into audio for insertion into customized digital audio stream.

A system and method for streaming customized audio is disclosed. The system and method allow for the selection of advertisements based on at least one feature of a listener and insertion of the selected advertisements into a customized digital audio stream subsequently transmitted to a particular listener. In a particular embodiment, the advertisement is provided as a text string which is converted into audio for insertion into customized digital audio stream.

Systems and methods are provided herein for automatically generating universal metadata for non-linear content when the non-linear content is determined to be viral. To this end, the systems and methods determine a first rate at which first users are consuming non-linear content from a first source. In response to determining that the first rate exceeds the threshold, the systems and methods determine a second source that from which second users are consuming the non-linear content, and a second rate at which the second users are consuming the non-linear content from the second source. In response to determining that the second rate exceeds the threshold, the systems and methods generate universal metadata for the non-linear content by automatically populating metadata fields of by scraping metadata fitting predefined criteria corresponding to the metadata fields from the first source and from the second source, and store the populated metadata fields to a database.

A scientific system and methods are disclosed for optimizing television (e.g., “CTV” and “OTT”) advertising and related expenditure to maximize efficiency and return on investment (“ROI’) for advertisers. The scientific system comprises an initial-feedback engine that develops and refines creatives or outcomes by creating and using an artificial intelligence (“AI”) engine that creates an initial feedback loop from social media platforms and subsequently uses an intelligent advertisement-selection engine that takes the highest performing advertising on the social media platforms and directs or imports them for connected television or over-the-top advertising. The system includes a performance engine that optimizes performance of the connected television and over-the-top advertising and then moves the winning combination of a creative or outcome resulting from the application inventory, the audience segment, the part of day, the frequency or the like to linear television purchase actions.