A system and method for identifying trending content based on context. The method includes generating at least one signature for each of a plurality of multimedia content elements, wherein each signature represents a concept, wherein each concept is a collection of signatures and metadata describing the concept; correlating the concepts of the generated signatures to determine at least one context of each multimedia content element, wherein each context represents a sentiment; and identifying, based on the determined contexts, at least one trending multimedia content element, wherein the context of each trending multimedia content element meets a sentiment threshold.

Example apparatus disclosed herein to implement signature matching with meter data aggregation for use in media identification applications include a match job aggregator to aggregate batches of meter data from a meter to form aggregated meter data associated with the meter, and a hash matcher to identify a valid hash key match between meter hash keys generated from meter signatures in the aggregated meter data and reference hash keys corresponding to a collection of media assets. Disclosed example apparatus also include a signature matcher to align, based on the valid hash key match, a sequence of reference signatures corresponding to a first media asset associated with the valid hash key match and a corresponding sequence of the meter signatures, and compare the sequence of reference signatures and the corresponding sequence of meter signatures to identify media represented by at least a portion of the sequence of the meter signatures.

System for determining the efficiency of publicity and/or broadcasted programs, comprising an audio signature generating unit with an adaptor that consists of a sampling unit for sampling the audio signal transmitted by the radio/TV at a first rate; a transformer, for obtaining galvanic separation between the power amplifier of the radio/TV, which feeds the loudspeakers and the input to the sampling circuitry. The audio signature generating unit is adapted to sample the audio signal transmitted by the receiver radio/TV that receives FM-radio/TV stations and to generate a characteristic audio signature. The system also comprises a plurality of stationary reference station units, each continuously listens to a station and is adapted to sample the audio signal transmitted by a particular broadcasting station to generate a stationary characteristic audio signature. A server is used to receive all signatures and continuously compare each characteristic audio signature to all stationary characteristic audio signatures, in order to find the best matching to one of the stationary characteristic audio signatures. If consecutive samples received from the audio signature generating unit appear essentially at the same timing within a predetermined time window, the server determines that the radio/TV receiver of a particular audio signature generating unit is currently tuned to a corresponding broadcasting station, for which the best matching has been found.

Disclosed herein are methods and systems to help disambiguate channel identification in a scenario where fingerprint data of media content being rendered by a media presentation device matches multiple reference fingerprints corresponding respectively with multiple different channels. Upon detecting such a multi-match, a server or other entity will perform disambiguation based at least in part on a comparison of time of broadcast of the media content being rendered by the media presentation device with time of broadcast of the media content represented by the reference fingerprints. The server or other entity will thereby determine the channel on which the media content being rendered by the media presentation device is arriving, so as to facilitate taking channel-specific action.

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.

Apparatus, systems, articles of manufacture, and methods to identify media using watermarks and signatures are disclosed. An example apparatus includes at least one memory, instructions, and processor circuitry to execute the instructions to: determine a first time and a category indicated by a watermark detected in the media, determine a search window based on the first time indicated by the watermark, the search window to at least one of (i) extend a first duration of time before the first time indicated by the watermark or (ii) extend a second duration of time after the first time indicated by the watermark, and compare (i) a query signature associated with a second time within the search window with (ii) a subset of reference signatures associated with the category to identify the media, the query signature generated from the media, the subset of reference signatures generated from reference media associated with the category.

Methods and apparatus to determine a state of a media presentation device are disclosed. Example disclosed methods include generating a first set of weighted coefficients based on first audio received by first and second microphones at a first time. Example disclosed methods include generating a second set of weighted coefficients based on second audio received by the first and second microphones at a second time after the first time. Example disclosed methods include comparing the first set of coefficients and the second set of coefficients to generate a similarity value. Example disclosed methods include, when the similarity value satisfies a threshold, determining that the media presentation device is in a first state. Example disclosed methods include, when the similarity value does not satisfy the threshold, determining that the media presentation device is in a second state.

In one aspect, an example method to be performed by a vehicle-based media system includes (a) receiving audio content; (b) causing one or more speakers to output the received audio content; (c) using a microphone of the vehicle-based media system to capture the output audio content; (d) identifying reference audio content that has at least a threshold extent of similarity with the captured audio content; (e) identifying visual content based at least on the identified reference audio content; and (f) outputting, via a user interface of the vehicle-based media system, the identified visual content.

In one aspect, an example method includes (i) while a media playback device of a vehicle is playing back content received on a first channel, generating, by the media playback device, a query fingerprint using second content received on a second channel; (ii) sending, by the media playback device, the query fingerprint to a server that maintains a reference database containing a plurality of reference fingerprints; (iii) receiving, by the media playback device from the server, identifying information corresponding to a reference fingerprint of the plurality of reference fingerprints that matches the query fingerprint; and (iv) while the media playback device is playing back the first content received on the first channel, providing, by the media playback device for display, at least a portion of the identifying information.

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.