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.

An example apparatus to monitor media that is presented via a mobile device includes: an application monitor to determine when media presentation software is being executed by the mobile device; and a metering information collector to collect at least one of a signature or a code of the media presented by the media presentation software based on the media presentation software being executed by the mobile device.

The disclosure is related to the idea of tracking user navigation, consumption, and/or behavior and applying analytics to help shape future offerings (customized offerings, up-sells, recommendations, etc.) to a user and to provide reporting data to service providers and studios. Methods and systems of providing viewing recommendations for a user are set forth. This involves collecting usage data related to a session of interaction by the user, processing the user data for the session, and providing feedback regarding the session. The sessions involve multiple stages tracking a user's interactions. These include stages such as an inquiry stage, a results stage, a details stage, a selection stage, and a confirmation stage. Usage data is then mined to indicate the content creator of a media asset regardless of the media asset type.

The disclosure is related to the idea of tracking user navigation, consumption, and/or behavior and applying analytics to help shape future offerings (customized offerings, up-sells, recommendations, etc.) to a user and to provide reporting data to service providers and studios. Methods and systems of providing viewing recommendations for a user are set forth. This involves collecting usage data related to a session of interaction by the user, processing the user data for the session, and providing feedback regarding the session. The sessions involve multiple stages tracking a user's interactions. These include stages such as an inquiry stage, a results stage, a details stage, a selection stage, and a confirmation stage. Usage data is then mined to indicate the content creator of a media asset regardless of the media asset type.

A method for matching a query against a broadcast stream includes receiving one or more broadcast streams, from which it generates and stores an audio fingerprint of a selected portion of each received broadcast stream. A query is received from which the method generates an audio fingerprint. From that point, the method continues by identifying audio content from the query, using the query audio fingerprint and a database of indexed audio content. The method concludes by identifying the source of the query using the query audio fingerprint and the stored audio fingerprints. Embodiments of the method further include predictively caching audio fingerprint sequences and corresponding audio item identifiers from a server after storing audio fingerprints extracted from the broadcast stream; and using the predictively cached audio fingerprint sequences to identify an audio item within the audio signal based on at least some additional audio fingerprints of the audio signal.

A method for matching a query against a broadcast stream includes receiving one or more broadcast streams, from which it generates and stores an audio fingerprint of a selected portion of each received broadcast stream. A query is received from which the method generates an audio fingerprint. From that point, the method continues by identifying audio content from the query, using the query audio fingerprint and a database of indexed audio content. The method concludes by identifying the source of the query using the query audio fingerprint and the stored audio fingerprints. Embodiments of the method further include predictively caching audio fingerprint sequences and corresponding audio item identifiers from a server after storing audio fingerprints extracted from the broadcast stream; and using the predictively cached audio fingerprint sequences to identify an audio item within the audio signal based on at least some additional audio fingerprints of the audio signal.

An apparatus including a memory for associating at least one user defined channel identifier with at least one selection item of the apparatus and a control unit coupled to the memory, the control unit being configured to cause one of the at least one user defined channel identifier to play when a corresponding one of the at least one selection item is activated by a user.

An apparatus including a memory for associating at least one user defined channel identifier with at least one selection item of the apparatus and a control unit coupled to the memory, the control unit being configured to cause one of the at least one user defined channel identifier to play when a corresponding one of the at least one selection item is activated by a user.

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.

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.