Abstract: Methods and apparatus to extract a pitch-independent timbre attribute from a media signal are disclosed. An example apparatus includes an audio characteristic extractor to determine a logarithmic spectrum of an audio signal; transform the logarithmic spectrum of the audio signal into a frequency domain to generate a transform output; determine a magnitude of the transform output; and determine a timbre attribute of the audio signal based on an inverse transform of the magnitude.

Abstract: Methods and apparatus to assign demographic information to panelists are disclosed. An example disclosed method includes generating decoy database proprietor identifiers to protect privacies of members of panelist households corresponding to panelist database proprietor identifiers, the decoy database proprietor identifiers to be determined based on a probability density function so that a quantity of the decoy database proprietor identifiers is less than would be used if the decoy database proprietor identifiers were selected by a random selection process. The example method also includes querying a server at a database proprietor using the panelist database proprietor identifiers and the decoy database proprietor identifiers, to obtain demographic information and assigning, by executing an instruction with a processor, the panelist database proprietor identifiers to panelists in the panelist households based on the demographic information obtained from the server at the database proprietor.

Abstract: Methods and apparatus for adjusting model threshold levels are disclosed. An example method includes determining volume estimates corresponding to a total number of users that satisfy a model threshold; when a ratio of (A) modeled users that satisfy the model threshold to (B) a sum of the modeled users that satisfy the model threshold and deterministic client device users does not satisfy a minimum ratio threshold, increasing the number of modeled users; when the total users that satisfy the model threshold does not satisfy a total volume target, increasing the number of modeled users; and updating the total volume target based on the increased number of modeled users; generating an adjusted count of users; and a model threshold adjuster to adjust the model threshold based on the adjusted count of users.

Abstract: Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to utilize audio watermarking for people monitoring are disclosed. Example people monitoring methods disclosed herein include determining, at a user device, whether a first trigger condition for emitting an audio watermark identifying at least one of the user device or a user of the user device is satisfied. Such example methods also include, in response to determining that the first trigger condition is satisfied, providing a first audio signal including the audio watermark to an audio circuit that is to output an acoustic signal from the user device.

Abstract: Example program clustering methods disclosed herein include accessing person-level program viewing data representing lengths of time respective people in an audience have tuned to respective television programs to be clustered. Disclosed example methods also include determining adjusted person-level program viewing data for respective ones of the people having tuned to respective ones of the television programs. For example, first person-level program viewing data for a first person having tuned to a first program is adjusted based on a ratio characterizing a relationship between a first program rating associated with the first person having tuned to the first program and a first network rating associated with the first person having tuned to a first network associated with the first program.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to generate synthetic respondent level data. An example method includes generating a first and second synthetic panel corresponding to a first duration of time based on a seed panel and first duration constraints; generating synthetic respondent level data corresponding to a second duration of time by linking synthetic panelists from the first synthetic panel to the second synthetic panel; and generating an output file based on the synthetic respondent level data.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to determine tags for unknown media using multiple media features. The methods, apparatus, systems and articles of manufacture for tagging unknown media, extracts audio features from an audio portion of the unknown media. The methods, apparatus, systems and articles of manufacture for tagging unknown media, extracts image features from image portions of the unknown media. The methods, apparatus, systems and articles of manufacture for tagging unknown media, weights the audio features with respect to the image features or weights the image features with respect to the audio features based at least partially on the recognition technology used to extract the feature. The methods, apparatus, systems and articles of manufacture for tagging unknown media, searches a database of pre-tagged media using the weighted features to generate a list of suggested tags for the unknown media.

Abstract: Methods and apparatus to share online media impression data are disclosed. An example method includes receiving, at a database proprietor, a first request from a client device, the first request including an audience measurement entity cookie identifier of an audience measurement entity cookie; and determining, with a processor of the database proprietor, a cookie mapping of the audience measurement entity cookie to a database proprietor cookie that is assigned by the database proprietor and associated with the client device.

Abstract: Methods and apparatus are disclosed to monitory online activity. An example method includes collecting first uniform resource locators from a first client device having a meter. The example method also includes collecting second uniform resource locators from a second client device not having a meter. The example method also includes determining that ones of the second uniform resource locators from the second client device correspond to online activity of a user associated with the first client device based on ones of the first uniform resource locators matching at least portions of the ones of the second uniform resource locators. Additionally, the example method includes associating the second client device with the user of the first client device.

Abstract: Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to determine media device activation based on frequency response analysis are disclosed. Example methods disclosed herein include determining a reference frequency response based on first frequency values of an audio signal used to perform watermark detection for a first time interval during which a media device has been determined to be active. Such example methods also include determining a second frequency response based on second frequency values of the audio signal used to perform watermark detection for a second time interval different from the first time interval. Such example methods further include comparing the second frequency response with the reference frequency response to determine whether the media device was active during the second time interval.

Abstract: Systems, methods, and apparatus to monitor mobile Internet activity are disclosed. An example method comprises determining, with a processor, whether a device is communicatively coupled to a WiFi network, the WiFi network identified by a Service Set Identifier. Whether proxy settings are configured on the device in association with the WiFi network is identified. Registration information is transmitted from the device to a registrar if the proxy settings are not configured, the registration information comprising a classification of the WiFi network and the Service Set Identifier. The proxy settings of the WiFi network are configured based on instructions received from the registrar, the instructions to cause the device to transmit network communications using the proxy settings when communicatively coupled to the WiFi network.

Abstract: Custom electronic program guides are disclosed. An example method includes collecting identifying information associated with media using at least one of a microphone or camera of a consumer electronics device, determining a characteristic of the consumer electronics device, the characteristic being at least one of a length of time during which the identifying information was collected, a percentage of the identifying information corresponding to a same program, or a geographic location at which the identifying information was collected, and determining, based on the characteristic, whether the collected identifying information is to be used in generating a custom electronic program guide for a user associated with the consumer electronics device.

Abstract: Methods, apparatus, and articles of manufacture to identify media presentation devices are disclosed. A disclosed example method to identify a media presentation device includes intercepting, using a processor in communication with a local network, a data packet comprising a source identification, the data packet being addressed to a destination in a wide area network and originating from a media presentation device in the local network, identifying a device type of the media presentation device based on the source identification, and storing the device type and an indication of media exposure.

Abstract: Methods and apparatus are disclosed to generate market segmentation data with anonymous location data. A disclosed example method involves receiving geographic location information associated with a mobile phone user, associating the geographic location information with an identifier unrelated to personal information associated with the mobile phone user, identifying a home location associated with the geographic location information, and associating segmentation information with the identifier based on the home location and without referencing personal information of the mobile phone user.

Abstract: Listening information indicating a number of audience members who switched stations during each of the designated periods of time is displayed on a graph having a plot representing the listening information. The graph is divided into an upper portion and a lower portion about a normalized line representing an average number of audience members who listened during designated periods of time. Additional plots can also be presented, including plots arranged so that portions above the normalized line represent a greater than average number of listeners, and portions below the normalized line represent a lower than average number of listeners.

Abstract: An apparatus, system and method for determining levels of audience engagement relative to encoded audio data, where an encoded audio data is captured in a mobile device. The audio data is captured over one or more predetermined time periods, and processed to determine characteristics of the audio data. The characteristics are determined according to one or more predetermined thresholds, where volume levels, levels of encoding, and or other features are monitored. By determining levels in the audio data that exceed predetermined thresholds, engagement levels and values may be determined relative to the audio data captured over the time period. Data from preceding time periods may be compared to obtain comprehensive engagement data for audience measurement systems.

Abstract: A system and method for calculating an engagement value by quantifying an amount that a user is acting without thinking considering brainwaves and a heart rate can be used to compare media based on an individual or a group of individuals. Events of the media can be contrasted and compared by the engagement value as well. Statistical measurements may be taken to improve media.

Abstract: A system uses neuro-response information to evaluate content within a cluster, such as commercials in a pod, advertisements in a frame, or products on a shelf, to determine priming characteristics associated with each pieces of content within the cluster. The priming characteristics and other data are combined to obtain blended attributes. The blended attributes are correlated with each piece of intracluster content to allow intelligent management including selection, arrangement, ordering, presentation, and/or scheduling of intracluster content. Intracluster content may also use priming characteristics associated with extracluster content to further improve management.

Abstract: Methods, apparatus and articles of manufacture for mixing compressed digital bit streams are disclosed. An example method disclosed herein comprises acquiring a frame associated with a first compressed digital bit stream, unpacking the frame to obtain a plurality of original transform coefficient sets, and modifying the plurality of original transform coefficient sets to mix a second digital bit stream with the first compressed digital bit stream.

Abstract: Methods and apparatus to adjust signature matching results for audience measurement are disclosed. An example method to adjust a signature matching result associated with monitoring a media content presentation disclosed herein comprises obtaining a monitored signature representative of the monitored media content presentation from a monitoring device, obtaining an environmental characteristic associated with the monitored signature from the monitoring device, and adjusting the signature matching result using an adjustment value when the monitored signature is determined to match a reference signature representative of reference media content, the adjustment value selected from a plurality of adjustment values based on the matched reference signature and the environmental characteristic.