Abstract: An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to cause transmission of media, received from a service provider, to a media device in response to a first request for the media, the media including instructions to cause the media device to determine a source Uniform Resource Locator and transmit a second request for metadata of the media to the apparatus, and cause transmission, to the media device in response to the second request, of metadata associated with the source Uniform Resource Locator.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for mobile device attention detection. An example apparatus includes a mobile meter to receive, from an external device, a signal to gather user attention data, and transmit the user attention data. The example apparatus further includes an interval timer to activate a time period for determining attention of a user. The example apparatus further includes an attention determiner to generate the user attention data during the time period.

Abstract: Example methods, apparatus, systems and articles of manufacture to implement under-addressable advertisement measurement are disclosed. Example apparatus disclosed herein determine a tuned under-addressable advertisement duration and a total tuned advertisement duration for a first television broadcast at a first monitored site, the tuned under-addressable advertisement duration and the total tuned advertisement duration determined based on (i) return-path tuning data associated with the first monitored site, (ii) linear advertisement log data associated with a broadcast area including the first monitored site, and (iii) addressable advertisement log data associated with the first monitored site.

Abstract: Methods and apparatus to associate audience members with over-the-top device media impressions. An example audience measurement apparatus includes a reporting message receiver to receive a first reporting message from a client device coupled to a residential gateway having an internet protocol (IP) address. An AME ID determiner is to assign an audience measurement entity (AME) identifier to the IP address provided by the received first reporting message. A redirect instructor is to send a redirect instruction to the client device to cause the client device to send a second reporting message to a database proprietor, the redirect instruction to include the AME identifier and the IP address. A DP message reporting receiver is to receive, in response to the sent redirect instruction, a third reporting message from the database proprietor that includes a database proprietor (DP) identifier.

Abstract: Methods, apparatus, systems and articles of manufacture to identify and triage digital ad ratings data quality issues includes processor circuitry to generate an aggregate factor score based on aggregate data from a first impression data point, the first impression data point including the aggregate data and duration data corresponding to a duration of time; determine a duration factor score based on the duration data from the first impression data point; determine a final weight score for the first impression data point using a normalized aggregate factor score and a normalized duration factor score for the first impression data point, the normalized aggregate factor score corresponding to aggregate factor scores of a second impression data point, the normalized duration factor score corresponding to duration factor scores of the second impression data point; and when the final weight score does not satisfy a threshold score.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to identify candidates for media asset qualification. Example apparatus disclosed herein include a media creditor to determine whether to credit a first media asset to linear media or non-linear media, the non-linear media including subscription video on demand (SVOD). Disclosed example apparatus also include a media asset candidate controller to: classify the first media asset as a non-candidate for media asset qualification in response to the first media asset being credited to the linear media or the non-linear media. In some examples, the media asset candidate controller is to determine whether to classify the first media asset as a candidate for media asset qualification based on whether the first media asset remains uncredited by the media creditor and the first media asset overlaps a streaming period.

Abstract: Example methods, apparatus, systems and articles of manufacture to determine synthetic total audience ratings are disclosed. Disclosed example apparatus are to access census data including census viewing statements associated with media content presented by census devices, access panel data including panelist viewing statements associated with media content presented by panel devices, the panel data including weights to represent numbers of individuals to be represented by corresponding panelists, determine scores representing similarities between ones of a first group of census devices determined to having matching panel devices in the panel data and ones of a second group of census devices determined to be unmatched in the panel data, and assign the census devices to the panel devices based on the scores and the weights.

Abstract: Techniques for analyzing media content are described. One technique generally comprises performing a regression analysis for characters in a plurality of media content based on user demographics, content outcome measure, and character models. The technique determines an attribute of significance. In some embodiments, the technique selects media content for display that depicts a character having at least a threshold value of the attribute of significance. In some embodiments, the technique displays media analytics for the attribute of significance determined based on a value of the attribute of significance exceeding a threshold significance value.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to project ratings for future broadcasts of media. Disclosed example methods include normalizing, with a processor, audience measurement data corresponding to media exposure data, social media exposure data and programming information associated with a future quarter to determine normalized audience measurement data. Disclosed example methods also include classifying a media asset based on the programming information to determine a media asset classification.

Abstract: A method and system for dynamically watermarking media content based on transport-stream metadata, to facilitate action by a downstream entity. An intermediary in a media-distribution path could receive a transport stream carrying media content and carrying metadata that is not watermarked in the media content. The intermediary could then obtain from the transport stream the metadata that is not watermarked in the media content and could modify the media content at least by encoding into the media content a watermark that represents the obtained metadata. And the intermediary could then output at least the modified media content for transmission to a downstream entity. The downstream entity could thus obtain from the watermark in the media content the metadata and could use the metadata to facilitate carrying out one or more useful actions.

Abstract: Disclosed examples include at least one memory, instructions, and processor circuitry to execute the instructions to generate a device graph, the device graph to represent links between ones of personally identifiable information nodes and ones of device nodes, generate person-clusters based on the device graph, the person-clusters based on the links and community detection hyperparameter values, generate a node-to-person lookup structure based on the person-clusters, and deduplicate impression data based on the node-to-person lookup structure.

Abstract: Methods and apparatus to correct for deterioration of a demographic model to associate demographic information with media impression information are disclosed. An example method includes estimating first and second ages of audience members based on demographic information; estimating a third age of an audience member who is not included in the audience members; applying a window function to the second ages to determine a distribution of ages based on the third age; multiplying window values by the first ages to determine corrected first age components; dividing a total of the corrected first age components by a sum of the window values to determine an estimated age of the audience member at a first time; and determining the corrected age of the audience member at a second time based on the estimated age of the audience member at the first time and a time difference between the first and second times.

Abstract: Systems, methods, and apparatus to identify media devices are disclosed. An example network communications monitor includes network interface circuitry, computer readable instructions, and processor circuitry. The processor circuitry is to execute the computer readable instructions to detect, via the network interface circuitry, multiple network communications transmitted on a home network within the household, access panelist data that associates a panelist of the household with a panelist device of the panelist, determine, based on the panelist data, that one or more of the multiple network communications are associated with the panelist device, and cause storage of data identifying the one or more network communications in association with the panelist.

Abstract: Example methods, apparatus, systems and articles of manufacture to determine synthetic total audience ratings are disclosed. Disclosed example apparatus are to access census data including census viewing statements associated with media content presented by census devices, access panel data including panelist viewing statements associated with media content presented by panel devices, the panel data including weights to represent numbers of individuals to be represented by corresponding panelists, divide the weights for respective ones of the panelists into respective sets of split weights, and assign the census viewing statements to at least subsets of the sets of split weights to determine the audience ratings for the population, the assignment of the census viewing statements to the at least subsets of the sets of split weights based on a reach constraint.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to validate reference media assets in media identification systems. Example apparatus disclosed herein are to identify respective instances of media represented by corresponding candidate media resources to be verified, and cause the respective instances of media to be presented and monitored by corresponding ones of a plurality of virtual machines. Disclosed example apparatus are also to perform a comparison of a first one of the candidate media resources to a corresponding test media resource generated by a first one of the virtual machines that played and monitored a first one of the instances of media represented by the first one of the candidate media resources. Disclosed example apparatus are further to validate the first one of the candidate media resources based on the comparison.

Abstract: Example apparatus disclosed herein includes a grouper to generate a first presence indication based on a threshold number of segments of image data including patterns of light values corresponding to a first human pulse. Disclosed example apparatus also include a face identifier to identify a first location associated with a human face in an environment associated with the image data based on thermal imaging data from a thermal imaging device, and output the first location associated with the human face in the environment associated with the image data.

Abstract: Techniques for recommending media are described. A character preference function comprising a plurality of preference coefficients is accessed. A first character model comprises a first set of attribute values for the plurality of attributes of a first character. The first and second characters are associated with a first and second salience value, respectively. A second character model comprises a second set of attribute values for the plurality of attributes of a second character of the plurality of characters. A first character rating is calculated using the plurality of preference coefficients and the first set of attribute values. A second character rating of the second character is calculated using the plurality of preference coefficients with the second set of attribute values. A media rating is calculated based on the first and second salience values and the first and second character ratings. A media is recommended based on the media rating.

Abstract: Methods and apparatus to determine reach with time dependent weights are disclosed. An example method disclosed herein includes determining a first subset of panelists exposed to media at a first time; determining a second subset of the panelists exposed to the media at a second time; applying a first plurality of weights to the first subset of panelists to generate first weighted exposures; applying a second plurality of weights to the second subset of the panelists to generate second weighted exposures; for a first panelist in the first and second subsets, determining a first cumulative weighted exposure by determining which of the first and second weighted exposures is largest for each of the first panelist; for a second panelist in one of the first and second subsets, determining a second cumulative weighted exposure by based on the weight applied to the second panelist; and determining a reach of the media for the first and second times by combining the first and second cumulative weighted exposures.

Abstract: Methods and apparatus to monitor environments are disclosed. Example audience measurement devices disclosed herein execute, in connection with a first frame of data, a three-dimensional recognition analysis on an object detected in an environment within a threshold distance from a sensor. Disclosed example audience measurement devices also detect that the object has moved outside the threshold distance from the sensor in a second frame subsequent to the first frame. Disclosed example audience measurement devices further execute a two-dimensional recognition analysis on the object in the second frame.

Abstract: Methods to predict end of streaming media using a prediction model are disclosed herein. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to generate a prediction model using a mean value of a bandwidth of a transmission of a streaming media to a user device and an amplitude of the streaming media, and identify an end of a streaming media session when an output of the prediction model satisfies a threshold.