Abstract:
Small changes in a broadcast version of a base media item can be identified by performing a multi-level comparison of digital fingerprints. A fingerprint of a base media item is compared to a fingerprint of a media broadcast to determine whether a media item embedded in a broadcast is likely, to a first level of certainty, to be the base media item. A second, more stringent, match between the fingerprint of the base media item and loosely matched items can be used to identify potentially-altered versions of the base media item. Potentially-altered versions can be compared against each other, and resulting matches are flagged as altered base media items, which can be fingerprinted and tested against broadcast fingerprints in the same manner as the base media item. Comparisons are made in parallel between two fingerprints to distinguish between a known base media item and unknown altered versions of the known base media item without prior storage of the unknown altered versions of the known base media item.
Abstract:
Event records can include session data representing a particular consumer and a particular standard period of time, and can include station identification information indicating a media station to which the consumer was tuned during standard period of time. Records can be designated as overlapping event records if multiple event records represent the same consumer and the same period of time, but identify different media stations, and at least some overlapping event records can be eliminated from consideration before determining audience migration information. Audience migration information, including tune-ins and tune-outs, can be determined based on whether or not a consumer has multiple event records showing different media stations at adjacent times. The audience migration information can then be transmitted to an end-user machine for display.
Abstract:
An end user can sample a radio or television broadcast, generate a user representation of the broadcast sample, and send the user representation to a comparison system, which also receives known representations of content broadcast by multiple different stations. The known representations are stored in a continuous fashion, and represent actually broadcast content. The comparison system identifies the source of the broadcast sample by comparing the user representation to the known representations associated with each of the different stations using a bit count method, such as the Hamming distance. By comparing two representations of content that was actually broadcast, a broadcast source can be identified without requiring the use of watermarks, timestamps, or a database of discreet content items.
Abstract:
Small changes in a broadcast version of a base media item can be identified by performing a multi-level comparison of digital fingerprints. A fingerprint of a base media item is compared to a fingerprint of a media broadcast to determine whether a media item embedded in a broadcast is likely, to a first level of certainty, to be the base media item. A second, more stringent, match between the fingerprint of the base media item and loosely matched items can be used to identify potentially-altered versions of the base media item. Potentially-altered versions can be compared against each other, and resulting matches are flagged as altered base media items, which can be fingerprinted and tested against broadcast fingerprints in the same manner as the base media item.
Abstract:
A first speech audio file scheduled for transmission in a first position of a transmission schedule, a first transcript of the first speech audio file, and first metadata associated with a first content item scheduled for transmission in a second position of the transmission schedule are obtained. The first metadata is compared to at least a portion of the first transcript to determine whether any of the first metadata matches the at least a portion of the first transcript. In response to determining that at least a portion of the first metadata matches at least a portion of the first transcript, linkages are created between the first speech audio file and the first content item. A graphical user interface (GUI) is generated, and displays a list of items scheduled for transmission including: a first identifier representing the first speech audio file in the first position; and a second identifier representing the first content item in the second position.
Abstract:
A method includes generating, at a device, text based on speech content of an audio file that is identified in a transmission schedule. The method also includes comparing, at the device, the text to metadata of a content item identified in the transmission schedule. The method further includes, based on determining that at least a portion of the text matches at least a portion of the metadata, storing a data record associated with the transmission schedule. The data record indicates that the audio file is associated with the content item. Other aspects are also disclosed.
Abstract:
An application client receives an open window event from an intermediary device before transmitting a licensing request to the intermediary device. The intermediary device transmits the licensing request to an authentication server, which responds by transmitting a message indicating approval status of the request back to the intermediary device. If the intermediary device is not within a predetermined proximity of the application client, the intermediary can wait predetermined amount of time for the intermediary device to return to the predetermined proximity of the application client before transmitting a second message indicating approval status to the application client. The application client receives, from the intermediary device, a licensing response reporting the approval status indicated by the message from the authentication server.
Abstract:
A graphical user interface (GUI) is implemented on a computing device that includes a processor and associated memory. The GUI includes a graphical presentation pane configured to display a graph including at least one plot representing listenership information along a Y axis of the graph, and a period of time along an X axis of the graph. The listenership information is associated with at least one selected station, and the period of time is determined based on a user-selection of the period of time. The GUI also includes a marker that can be positioned over different portions of the plot in response to user input, and a media log pane linked to a current portion of the plot over which the marker is positioned. the media log pane displays media items corresponding to both the at least one selected station and a time indicated by the current portion of the plot.
Abstract:
An end user can sample a radio or television broadcast, generate a user representation of the broadcast sample, and send the user representation to a comparison system, which also receives known representations of content broadcast by multiple different stations. The known representations are stored in a continuous fashion, and represent actually broadcast content. The comparison system identifies the source of the broadcast sample by comparing the user representation to the known representations associated with each of the different stations using a bit count method, such as the Hamming distance. By comparing two representations of content that was actually broadcast, a broadcast source can be identified without requiring the use of watermarks, timestamps, or a database of discreet content items.
Abstract:
An end user can sample a radio or television broadcast, generate a user representation of the broadcast sample, and send the user representation to a comparison system, which also receives known representations of content broadcast by multiple different stations. The known representations are stored in a continuous fashion, and represent actually broadcast content. The comparison system identifies the source of the broadcast sample by comparing the user representation to the known representations associated with each of the different stations using a bit count method, such as the Hamming distance. By comparing two representations of content that was actually broadcast, a broadcast source can be identified without requiring the use of watermarks, timestamps, or a database of discreet content items.