Methods and apparatus for determining increasing robustness of media signatures are disclosed. An example apparatus includes a characteristic analyzer to determine a first difference between (A) a first characteristic of an audio signal at a first time and (B) a second characteristic of the audio signal at a second time. The apparatus further includes a characteristic enhancer to compare the first difference to a first threshold; at least one of (A) boost the first characteristic of the audio signal at the first time or (B) attenuate the second characteristic of the audio signal at the second time when the first difference does not satisfy the threshold to create an enhanced audio signal; and determine whether a second difference between a third characteristic of the enhanced audio signal at the first time and a fourth characteristic of the enhanced audio signal at the second time satisfies the threshold, the third characteristic corresponding to the first characteristic, the fourth characteristic corresponding to the second characteristic.

Example methods and apparatus to detect audio engineering problems using identification of isolated watermarks are disclosed herein. Disclosed example methods include identifying, by executing an instruction with a processor, isolated watermarks in a first set of detected watermarks obtained from first media monitored at a first site. Disclosed example methods further include determining, by executing an instruction with the processor, a problem has been detected with the first media associated with the first set of detected watermarks in response to a first number of isolated watermarks identified in the first set of detected watermarks satisfying a first threshold.

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.

A system and method customizing a display of a user device based on multimedia content elements. The method may include detecting a trigger event; identifying a user profile of the user device, wherein the user profile includes one or more signatures indicating a user interest; accessing signatures for a plurality of multimedia content elements; comparing the signatures of at least one of the plurality of multimedia content elements with the one or more signature of the user profile; and customizing the display of the user device, wherein the customized display includes the at least one interesting multimedia content element.

A system and method for providing recommendations based on current user interests. The method includes identifying at least one current variable, wherein each current variable is associated with a user device or a user; determining, based on the identified at least one current variable, at least one current user interest of a user profile, the user profile including at least one contextual insight, wherein each contextual insight is based on at least one signature for at least one multimedia content element associated with the user; searching for at least one multimedia content element that matches the at least one current user interest; and causing a display of the at least one matching content item as a recommendation.

Methods, apparatus, systems and articles of manufacture are disclosed selectively generating and storing hashed reference signatures. An example method disclosed herein determining whether watermark coverage of a first media segment satisfies a dropout constraint, the first media segment corresponding to a first monitoring time interval of a media source feed and, when the watermark coverage of the first media segment does not satisfy the dropout constraint hashing first media signatures associated with the first media segment to generate corresponding first hashed signatures and generating first reference data for the first media segment, the first reference data including the first hashed signatures and the first media signatures. The example method further includes, when the watermark coverage of the first media segment satisfies the dropout constraint, generating second reference data for the first media segment, the second reference data including the first media signatures.

Methods and apparatus to identify media content using temporal signal characteristics are disclosed. An example method includes generating a reference signature based on a reference signal corresponding to known media, generating sums based on peaks in a media signal corresponding to media, identifying signal peaks based on the generated sums, generating a second signature based on normalized curve features, wherein the normalized curve features respectively correspond to the identified signal peaks at a corresponding temporal locations of the corresponding signal peak, and determining whether the media signal corresponds to the reference signal based on a comparison of the reference signature and the second signature.

A method and system for identifying social trends are provided. The method includes collecting multimedia content from a plurality of data sources; gathering environmental variables related to the collected multimedia content; extracting visual elements from the collected multimedia content; generating at least one signature for each extracted visual element; generating at least one cluster of visual elements by clustering at least similar signatures generated for the extracted visual elements; correlating environmental variables related to visual elements in the at least one cluster; determining at least one social trend by associating the correlated environmental variables with the at least one cluster.

A method and system for identifying a correct orientation of a multimedia content item are presented. The method includes receiving from a user device the multimedia content item; identifying at least one object shown in the multimedia content item; generating by a signature generator system (SGS) at least one signature for the at least one object shown in the multimedia content item; querying, using the at least one generated signature, a deep-content-classification (DCC) system to find at least one concept that matches the at least one object, wherein the querying of the DCC system is performed using the at least one signature generated for each object shown in the multimedia content item; determining a correct orientation of the at least one matching concept; and comparing an orientation of the at least one object to the determined correct orientation to determine if the at least one object is correctly oriented.

A system and method for determining parameters based on multimedia content. The method includes generating at least one signature for at least one multimedia content element, wherein each signature represents a concept, wherein each concept is a collection of signatures and metadata describing the concept; analyzing the generated at least one signature, wherein the analysis includes matching the generated at least one signature to a plurality of other signatures; and determining, based on the analysis, at least one parameter for each multimedia content element.