Automated data-matching includes obtaining first and second stored fingerprints generated from first and second data. The stored fingerprints are divided into frames, and grouped into first blocks and second blocks including an equal number of frames. Each frame included in a current first block is compared to each frame included in a current second block to determine a number of matching frames, and a hamming distance between the current first block and the current second block is determined, based at least in part on the number of matching frames. A determination is made, based at least in part on the hamming distance, whether the current first block and the current second block match.

A method for providing economic information based on geographic parameters is provided. The method includes providing a map for display on a device. A user-defined area on the map is received. Data relating to the user-defined area is provided.

Methods, apparatus, systems and articles of manufacture to determine headphone adjustment for portable people meter listening to encoded audio streams are disclosed. Example apparatus disclosed herein include a meter data analyzer to determine audience estimates for streaming media; a headphone survey analyzer to calculate a global lift factor based on a determined proportion of the audience that listens to streaming media via headphones and a determined proportion of the audience that listens to streaming media without headphones; a headphone survey adjuster to: calculate adjustment factors for a plurality of unique demographic adjustment groups; an audience adjustment calculator to apply the adjustment factors to the audience estimates for streaming media, wherein the adjustment factors are applied to audience members in the audience estimates that are associated with respective unique demographic adjustment groups; and report new audience estimates based on the audience estimates with the applied adjustment factors.

The current embodiments relate to a real-time automated classification system that uses machine learning system to recognize important moments in broadcast content based on log data and/or other data received from various classification systems. The real-time automated classification system may be trained to recognize correlations between the various log data to determine key moments in the broadcast content. The real-time automated logging system may determine and generate metadata that describe or give information about what is happening or appearing in the broadcast content. The real-time automated logging system may automatically generate control inputs, suggestions, recommendations, and/or edits relating to broadcast content based upon the metadata, during broadcasting of the broadcast content.

The current embodiments relate to a real-time automated classification system that uses machine learning system to recognize important moments in broadcast content based on log data and/or other data received from various classification systems. The real-time automated classification system may be trained to recognize correlations between the various log data to determine key moments in the broadcast content. The real-time automated logging system may determine and generate metadata that describe or give information about what is happening or appearing in the broadcast content. The real-time automated logging system may automatically generate control inputs, suggestions, recommendations, and/or edits relating to broadcast content based upon the metadata, during broadcasting of the broadcast content.

Methods, apparatus, systems and articles of manufacture to determine headphone adjustment for portable people meter listening to encoded audio streams are disclosed. An example system disclosed herein includes meter data analyzer circuitry to determine an audience estimate for streaming media based on media data measured by a media meter, the media meter to measure the streaming media based on an identification of the streaming media in ambient audio collected by a microphone of the media meter, and data analyzer circuitry to calculate at least one headphone adjustment factor based on a first determined proportion of an audience that listens to streaming media via headphones and a second determined proportion of the audience that listens to streaming media without headphones.

Methods, apparatus, and systems are disclosed for estimating panel attrition. An example apparatus includes at least one memory, machine readable instructions, and processor circuitry to execute the machine readable instructions to determine a beta distribution of a non-parametric survival curve estimate based on panel meter data associated with a cohort of panelists, determine confidence intervals for a set of beta distribution parameters associated with the survival curve estimate, and output a panelist attrition estimate generated based on the confidence intervals for the survival curve estimate, the panelist attrition estimate to represent panelist retention over time based on an installation date of the panel meter.

Systems, methods, devices, and computer program products provide social and interactive applications for mass media based on real time ambient-audio and/or video identification. In some implementations, a method includes: receiving descriptors identifying ambient audio associated with a media broadcast; comparing the descriptors to one or more reference descriptors; and determining a rating for the media broadcast based at least in part on the results of the comparison.

Systems, methods, devices, and computer program products provide social and interactive applications for mass media based on real time ambient-audio and/or video identification. In some implementations, a method includes: receiving descriptors identifying ambient audio associated with a media broadcast; comparing the descriptors to one or more reference descriptors; and determining a rating for the media broadcast based at least in part on the results of the comparison.

A media item included in a broadcast is identified by receiving, at a processing device including a processor, a first recorded representation of a first media broadcast, which includes a recording of at least a portion of a first media item, via a known media station. The first recorded representation. An identity of the first media item is determined based on a broadcast schedule associated with the known media station. A second recorded representation of a second media broadcast transmitted via an unknown media station, which includes a recording of at least a portion of a media-item-of-interest is also received at the processing device. The media-item-of-interest is identified by the processing device based on a block-by-block comparison of the first recorded representation to the second recorded representation. The comparison includes comparing first blocks included in the first recorded representation against second blocks included in the second recorded representation on a frame by frame basis.